From Digital Tool to Didactic Route Assignment # 2

Draft Assignment

Teaching Clock Skills Through Attention, Memory, Temporal Language, and Measurable Learning Evidence

Patricia Silva

EDLD 5317-D01: Resources for Digital Environments · Lamar University · Summer 2026

Instructor: Dr. Harrison

Primary Publication Target: Edutopia
Secondary Targets: Journal of Digital Learning in Teacher Education Educational Technology Research and Development

This article is written for a practitioner audience and is intended for submission to Edutopia. It may later be adapted for peer-reviewed journals in educational technology.

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Abstract

Clock learning is often reduced to memorization, with learners asked to identify analog time, match digital time, or complete worksheets without deeper understanding. Yet telling time requires visual perception, attention, working memory, temporal language, conceptual reasoning, routine, and functional action. This article argues that digital tools for teaching clock skills should be designed through a didactic route rather than used as isolated activities. The proposed seven-step model—beginning with learning intention and moving through access, purposeful tool selection, evidence collection, reflection, transfer, and adjustment—helps educators see how learners identify time, understand duration, explain reasoning, plan routines, wait, and return to task after interruption. Grounded in constructivist learning theory, cognitive science, formative assessment, and ethical AI guidance (Brown et al., 2014; Qu et al., 2021), the model positions technology as a means of supporting instruction, not replacing it. Technology is the support. Didactics is the route. Learning is the purpose.


Introduction: Why Teaching Time Matters

Many students are taught to read the clock as if it were only a memorization skill—completing worksheets, matching analog and digital time, or naming the time shown on a clock face. But clock learning is far deeper than surface recognition. From my perspective as an educator, understanding time requires a learner to coordinate an entire chain of cognitive and practical processes simultaneously (Qu et al., 2021).

To make sense of a clock, students have to engage visual perception to notice numbers, hands, direction, and position; attention to focus on time signals and filter out distractions; working memory to hold information while calculating duration or elapsed time (Cowan, 2017); temporal language to use and understand before, after, now, later, half hour, quarter hour; conceptual reasoning to grasp duration, sequence, cycle, and interval as lived experience; and routine and functional action to start, stop, wait, plan, transition, and return to task using time signals.

Visual Perception

See numbers, hands, direction, and position on the clock face.

Attention

Focus on time signals and filter out distractions in the environment.

Working Memory

Hold time information while calculating duration or elapsed time.

Temporal Language

Use and understand before, after, now, later, half hour, quarter hour.

Conceptual Reasoning

Understand duration, sequence, cycle, and interval as lived experience.

Routine & Action

Start, stop, wait, plan, transition, and return to task using time signals.

Central voice statement: Teaching the clock is not only teaching time. It is teaching the learner how to relate to time.

This is why traditional instruction often falls short: when clock teaching is reduced to drills and isolated identification, it misses the cognitive work and meaningful daily use that give time sense its real purpose.

The Problem With Traditional Clock Instruction

Traditional clock instruction tends to ask narrow questions focused on identification and matching rather than on functional use. In many classrooms, students are asked whether they can name the time shown, match analog and digital clocks, complete a worksheet correctly, or answer accurately during the lesson. These tasks can be useful as a starting point, but they do not tell the whole story.

Correct performance in the moment does not guarantee durable understanding or transfer. As Brown et al. (2014) emphasize, learning that lasts requires practice, retrieval, feedback, and the ability to apply knowledge across time and context. A learner may succeed on a clock worksheet and still struggle later with duration, waiting, planning, elapsed time, routine, or return-to-task.

For that reason, a clock-learning resource should measure more than correct answers. It should also measure whether the learner can use time meaningfully in real contexts. That shift matters because clock learning is not just a recognition task; it is a cognitive and functional process that supports planning, waiting, transitioning, and returning to task.

Clock Learning as a Cognitive and Functional Process

Clock learning should be designed as a didactic route that develops perception, attention, working memory, temporal language, routine, and functional use of time. In practice, that means students are not only learning to name the hour or read a clock face; they are building the cognitive and functional capacities needed to understand, anticipate, and use time in everyday life. This perspective aligns with research on durable learning, which emphasizes retrieval, feedback, and transfer across contexts (Brown et al., 2014).

Clock learning should be designed as a didactic route that develops perception, attention, working memory, temporal language, routine, and functional use of time. Digital tools can support this process only when they are connected to evidence, reflection, feedback, and transfer.

Digital tools can support this process, but only when they are intentionally tied to evidence, reflection, feedback, and transfer. A strong digital resource for clock learning should help teachers observe learning evidence across multiple dimensions — not simply whether an answer is right or wrong, but how the learner reasons, retains, explains, and applies time across days and contexts.

For that reason, the evidence below is useful because it broadens what counts as learning evidence in clock instruction.

This broader view of evidence helps us move from isolated performance toward meaningful participation, which is why the next section turns to technology as support rather than as the goal itself.

Technology as Support, Not the Lesson

A digital tool does not teach by itself. A digital clock does not automatically create understanding. A timer does not automatically teach waiting. The teacher must design a route — and that professional design process is didactics.

This is the key distinction: using a tool is not the same as designing a learning route. A tool may display time, count down seconds, or organize data, but it does not decide what counts as learning, how evidence should be interpreted, or how support should change as the learner develops. That work belongs to the teacher, who turns technology into part of a purposeful instructional sequence rather than a standalone activity. In that sense, didactics gives direction to the tool, helping it serve perception, attention, working memory, temporal language, routine, and functional use of time (Brown et al., 2014).

Without didactics, students may simply click times on a screen without understanding the structure of the clock or the reasoning behind their answer. A timer may count down without helping the learner experience duration, waiting, transition, or self-regulation. A dashboard may show scores without helping the teacher interpret accuracy, error, retention, or transfer. Even AI can summarize performance without automatically improving learning if the teacher does not use that information to observe patterns, adjust instruction, and connect practice to everyday routines.

With didactics, the same tools become educational supports. Students observe clock structure, explain how they know the time, and apply that understanding to real routines. A timer becomes a way to experience duration and practice waiting with support. A dashboard becomes a source of evidence that helps the teacher decide what the learner has mastered, where errors occur, and what should happen next. In other words, the tool remains useful, but the learning meaning comes from the instructional design around it.

Technology is the support. Didactics is the route. Learning is the purpose.

When this distinction is clear, technology stops being the lesson and starts becoming part of a thoughtful learning path. The next section presents the didactic route model that organizes that path more explicitly.

The Didactic Route for Clock Skill Development

The digital learning resource follows a seven-step didactic route. Clock instruction does not begin with the tool — it begins with a learning intention. From there, the teacher identifies the access route, selects the most appropriate tool, collects evidence, invites reflection, checks whether the learner can transfer the skill, and adjusts the route when needed.

Each step has a clear didactic purpose. Intention defines what temporal skill the learner should develop. Access determines the first route into understanding — whether visual, language-based, movement-based, routine-based, story-based, or object-based. Tool refers to the clock, timer, visual schedule, dashboard, or AI-supported organizer that is chosen to support the route, not replace it. Evidence is gathered through accuracy, error, response time, retention, explanation, and transfer. Reflection helps the learner name what supported understanding, which aligns with feedback principles that make learning visible (Hattie & Timperley, 2007). Transfer asks whether the learner can use time to plan, wait, start, stop, or return to task. Adjustment ensures the route changes when the learner can answer correctly but cannot yet apply the skill in everyday contexts.

This route keeps technology in its proper place. The tool supports instruction, but it does not become the lesson. The real goal is the learner's functional use of time: understanding clock structure, managing transitions, waiting with support, and applying temporal knowledge in daily routines. In that way, didactics preserves the purpose of the resource and keeps learning anchored in meaningful action.

The next section turns to assessment, where we examine how evidence, interpretation, and instructional response work together to support progress.

Seven-Level Didactic Sequence

A strong digital clock resource should be organized developmentally, moving the learner from basic visual perception toward full, functional use of time in daily life. Each level builds on the previous one, preventing the project from remaining too narrow in scope.

Connection to Learning Thought Leaders

This project connects to a rich tradition of constructivist and experiential learning theory. The clock becomes not merely an object to identify, but an object-to-think-with — a tool through which learners construct temporal understanding through action, dialogue, and reflection (Papert, 1980).

John Dewey (1938) reminds us that learning grows from experience and reflection, so the clock must be used in meaningful routines rather than treated as a worksheet object. Jean Piaget (1952) emphasizes that children construct knowledge through developmental stages, which aligns with the gradual progression of time understanding in this project. Jerome Bruner (1960) shows that learners move through action, image, and symbol, supporting a sequence from hand movement to visual clock to symbolic time.

Lev Vygotsky (1978) highlights the role of language, tools, and social support in learning, which connects directly to teacher modeling and guided dialogue around temporal language. Seymour Papert (1980) introduced the idea of digital tools as objects-to-think-with, making interactive clocks and timers especially powerful for this work. Roger Schank (2011) argues that real learning is tied to doing, memory, and meaningful cognitive processes, reinforcing the need for learners to use time in action, not only recognize it visually.

Theoretical Foundation

These thinkers collectively reinforce a central principle: learning is not transmission. It is construction through experience, language, and purposeful action.

From here, the project moves into the COVA alignment and intended audience sections, where these principles are carried into the design decisions and learner focus.

Alignment With COVA and Learner Agency

COVA stands for Choice, Ownership, Voice, and Authentic Learning, and this Clock Skill project aligns with that framework because it positions the learner as an active participant rather than a passive user of a digital tool. In a COVA-aligned learning experience, the learner chooses routes, interprets evidence, explains thinking, and applies time in real life, while technology remains connected to learning instead of becoming the center of the experience.

Rather than simply clicking through a clock activity, the learner engages with time as a meaningful concept through multiple pathways and real-world situations.

Below is a summary of how each COVA element appears in the Clock Skill project:

This alignment helps define the project’s intended audience next, showing who will benefit most from a learner-centered approach to clock skill development.

Assessment: Evidence Beyond the Correct Answer

A digital clock resource should measure several interconnected learning outcomes, not just correctness. Formative assessment should help teachers adjust learning while it is happening, not only classify performance at the end (Black & Wiliam, 1998). Feedback is strongest when it helps learners understand where they are, where they need to go, and what to do next (Hattie & Timperley, 2007).

In practice, that means looking at more than one piece of evidence. I want to know whether a learner can answer accurately and how far off the answer is when it is not correct. I also want to see response time, because fluency and automaticity matter too. Delayed retrieval matters as well, because a skill that lasts after two days or a week tells us more than a skill that only appears in the moment. Beyond that, explanation quality shows whether the learner can describe their thinking, functional use shows whether they can apply time in real routines like planning or waiting, and return to task shows whether they can recover after an interruption in a digital environment.

Accuracy & Error

Whether the answer is correct, and how many minutes away the answer is from the correct time. Shows initial performance and precision.

Response Time

How long the learner takes to answer. Shows fluency and automaticity — not just correctness, but confident, efficient recall.

Delayed Retrieval

Whether the learner remembers after two days or one week. Shows durable learning rather than temporary performance.

Explanation Quality

Whether the learner can explain their reasoning. Shows conceptual understanding beyond surface recognition.

Functional Use

Whether the learner uses time in a real routine — planning, waiting, starting, stopping. Shows transfer to life.

Return to Task

Whether the learner can recover after an interruption. Shows temporal attention in digital environments.

Retrieval practice and spaced learning help make learning more durable (Brown et al., 2014). That is why a clock-learning tool should not stop at same-day correctness — it should track learning across time. Those patterns of evidence also set up the next section, where the focus turns to ethical AI use and how the tool supports learning without replacing the learner’s thinking.

Ethical Use of AI as an Evidence Organizer

Artificial intelligence may support this digital resource, but its role must remain carefully bounded. The U.S. Department of Education emphasizes that AI in education should support human judgment, transparency, fairness, and responsible decision-making (U.S. Department of Education, 2023). The teacher remains the interpreter — AI only organizes what the teacher must still read and act upon.

AI May Support

  • Organize accuracy and response-time data
  • Generate simple learning graphs
  • Summarize patterns for teacher review
  • Suggest reflection questions
  • Compare immediate and delayed evidence
  • Flag missing or incomplete evidence

AI Must Not Do

  • Diagnose learners or label students
  • Replace teacher judgment or interpretation
  • Shame or rank learners
  • Make final instructional decisions
  • Decide ability or future placement

This boundary matters because the goal is not to automate meaning, but to support careful professional judgment. In the next section, I turn to ethical language and how the wording of feedback can either protect learner dignity or quietly undermine it.

Ethical Language and Learner Dignity

Educational technology can accidentally label students. This project uses evidence to support learner dignity, not shame. The language teachers use when interpreting data matters as much as the data itself—careful, asset-based framing preserves the learner's sense of self and keeps the focus on the next instructional step.

As the U.S. Department of Education (2023) emphasizes, AI and other educational technologies should support human judgment, transparency, fairness, and responsible decision-making. In practice, that means descriptions of learner performance should name evidence clearly while avoiding deficit-based labels that can narrow expectations or undermine confidence.

This language-centered approach sets up the next section, where I turn to the thought leaders whose ideas help ground this project in evidence, care, and alignment.

Intended Audience and Real-World Impact

This article is written for practitioners and designers who shape how technology serves learning — not only for the course instructor. Each audience group can draw on the didactic route model to improve how time is taught, measured, and understood in their specific context.

Classroom Teachers

Move beyond clock worksheets toward evidence-based temporal learning routes that follow the learner's developing understanding. Use the model to notice where students hesitate, explain, or self-correct, and then adjust instruction accordingly.

Instructional Coaches

Help teachers evaluate whether digital tools are producing learning evidence or only generating activity and engagement. Coach teams to look for signs of reasoning, transfer, and independence, not just time-on-task.

EdTech Designers

Build tools that measure learning evidence — accuracy, error, retention, and transfer — not just engagement metrics. This can help designers create products that support assessment and reflection instead of shallow interaction.

Families

Support routines, waiting, time language, and planning at home using the same accessible, evidence-based approaches. Small daily moments, such as preparing to leave or returning to a task, can strengthen time understanding.

Together, these audiences show that teaching time is not just a classroom task but a shared learning responsibility. The next section turns to the challenges that make this work difficult in practice.

Challenges and Considerations

Implementing a didactic route for clock skill development is not without challenges. These are real constraints that practitioners, designers, and institutions must navigate.

Teacher Preparation

Ensuring teachers have the pedagogical training to use digital tools as didactic routes, not just entertainment.

Meaningful Assessment

Designing assessments that capture functional use of time, not just memorization.

Human and AI Judgment

Balancing AI support with human judgment in educational decision-making, particularly in attention-demanding digital environments (Mark, 2023).

Learner Diversity

Adapting the didactic route to diverse learners with different cognitive and developmental needs.

These challenges do not weaken the argument; they clarify what effective implementation must address before the final conclusion.


Conclusion: The Clock, the Route, and the Learner

This article has argued that teaching the clock is not only about teaching time. It is about teaching the learner how to perceive time, understand duration, use temporal language, plan routines, wait, transition, and return to task. Technology is a support — it matters only when it enhances the learner's capacity to understand and use time in meaningful ways.

The Clock

The tool that makes time visible, tangible, and observable.

The Didactic Route

The professional design that transforms a tool into a learning pathway.

The Learner's Functional Use of Time

The goal — perception, reasoning, language, routine, and independent action.

Technology is the support. Didactics is the route. Learning is the purpose.

Peer Assessment Evidence — Scores Received by Patricia Silva

EDLD 5317 Assignment 2 | Group 4 Rubric | Reviewer scores received from peers

Feedforward Received From Each Reviewer

Chalice:

Content Knowledge (18/20): Demonstrates a strong understanding of the course concepts and connects theory to practice throughout the site. The examples provided support her ideas well. A few sections could provide deeper explanation of how specific ADL concepts influenced her design decisions, but overall the content reflects mastery.

Critical Thinking (9/10): The site includes thoughtful reflections and explanations of learning experiences. Ideas are supported by course concepts and personal application. Additional explicit references to course readings or models would strengthen the analysis even further.

Comprehension & APA Formatting (8/10): Most required elements are present and organized effectively. APA formatting is generally accurate, though there are a few minor citation and reference formatting issues. Adding more consistent in-text citations throughout would strengthen this section.

Presentation (10/10): The site is visually appealing, organized, and easy to navigate. The layout supports the content, and the design elements enhance rather than distract from the message. The flow is logical and professional.

Zhaojing:

Content Knowledge (19/20): You provide a clear explanation of how the station rotation model can be adapted for correctional education. As a language teacher, I appreciated how she focused on meeting diverse learner needs through different instructional pathways. The discussion shows a good understanding of technology integration and student-centered learning. More specific examples of classroom implementation could make the section even stronger.

Critical Thinking (10/10): One strength of this draft is the connection between real educational challenges and practical solutions. Patricia does not simply suggest using technology; she explains why the model may work in a setting with limited resources and varying student abilities. I would like to see a little more discussion about potential limitations and how teachers might address them.

Comprehension & APA Formatting (10/10): The draft is easy to read and follows a logical structure. The ideas move smoothly from the problem statement to the proposed solution. Most academic writing conventions are followed. Adding a few more citations and strengthening the connection between research and practice would improve the overall scholarly quality.

Presentation (10/10): The project is well organized and visually professional. The information is presented in a way that is easy for readers to understand. The layout supports the content and helps communicate the main message effectively.

Ana:

Content Knowledge (19/20): This project shows a very good understanding of digital learning and teaching. The author explains how learning to tell time involves more than just reading a clock. The ideas are connected to important learning theories and classroom practice. The content is clear, detailed, and well developed.

Critical Thinking (10/10): The author does more than explain digital tools and looks critically at the limitations of traditional clock instruction. The project focuses on meaningful learning, transfer, and long-term understanding instead of only correct answers. The ideas are supported with research and thoughtful explanations. This shows strong critical thinking and analysis throughout the paper.

Comprehension & APA Formatting (9/10): The paper addresses all major parts of the assignment and uses several scholarly sources to support the ideas. APA formatting is mostly correct, although a few references and citations may need minor revisions. The presentation is clear, organized, and easy to follow. Tables, headings, and the overall layout help communicate the message effectively and make the project look professional.

Presentation (10/10): The project is well organized and easy to follow. The headings, tables, and sections help the reader understand the information. The writing is clear and professional. Overall, the presentation looks polished and engaging.

Michael:

Content Knowledge (19/20): Your draft has an in-depth, accurate and fully integrated understanding of learning theory, didactics, cognitive science, and ethical AI. The connections to relevant thought leaders such as Dewey and Vygotsky are clear and supported by your text.

Critical Thinking (9/10): Your ideas are consistently supported with strong references to course concepts such as COVA and research such as Brown and the U.S. Department of Education. The citations clearly support your claims such as, "Retrieval practice spaced learning help make learning more durable" (Brown et al., 2014). You have a tough concept to explain and you have done it well.

Comprehension & APA Formatting (9/10): Your APA formatting is strong, with accurate in-text citations and a complete reference list that follows APA conventions. Only small formatting issues are present such as the spacing and the hanging line for references that go over one line, but that may be due to the nature of your format.

Presentation (10/10): The draft is extremely well-organized, visually structured, and coherent. You use tables, headings, and diagrams to enhance the clarity of your writing. Your writing is polished and visually appealing.

Amber:

Content Knowledge (19/20): The draft exhibits an in-depth understanding of course concepts and learning theories and applies them appropriately throughout the article. Connections between theory, instructional design, assessment, and technology are consistently evident. The only reason I did not award a perfect score is that some sections could be condensed to better align with the practitioner-focused publication target.

Critical Thinking (10/10): The article demonstrates strong critical thinking through extensive use of research, educational theory, and reasoned analysis. Ideas are well substantiated with numerous explicit references that directly support the author's positions. The discussion moves beyond description and into meaningful analysis and application.

Comprehension & APA Formatting (9/10): The draft addresses all required assignment components and includes extensive scholarly support. APA formatting is generally strong, though a final review for citation and reference consistency would strengthen the submission further.

Presentation (10/10): The presentation is clear, coherent, and highly organized. The structure supports the reader's understanding, and the visual elements enhance rather than distract from the message. Grammar, spelling, and syntax issues are minimal or nonexistent.

Revisions made based on peer feedforward:

[Insert explanation of revisions here.]

Link to peer assessment post:

[Insert direct URL here.]

Scoring Guidelines

References

Black, P., & Wiliam, D. (1998). Assessment and classroom learning. Assessment in Education: Principles, Policy & Practice, 5(1), 7–74. https://doi.org/10.1080/0969595980050102

Brown, P. C., Roediger, H. L., III, & McDaniel, M. A. (2014). Make it stick: The science of successful learning. Harvard University Press.

Bruner, J. S. (1960). The process of education. Harvard University Press.

Cowan, N. (2017). The many faces of working memory and short-term storage. Psychonomic Bulletin & Review, 24, 1158–1170. https://doi.org/10.3758/s13423-016-1191-6

Dewey, J. (1938). Experience and education. Macmillan.

Hattie, J., & Timperley, H. (2007). The power of feedback. Review of Educational Research, 77(1), 81–112. https://doi.org/10.3102/003465430298487

Mark, G. (2023). Attention span: A groundbreaking way to restore balance, happiness and productivity. Hanover Square Press.

Papert, S. (1980). Mindstorms: Children, computers, and powerful ideas. Basic Books.

Piaget, J. (1952). The origins of intelligence in children (M. Cook, Trans.). International Universities Press.

Qu, F., Shi, X., Zhang, A., & Gu, C. (2021). Development of young children's time perception: Effect of age and emotional localization. Frontiers in Psychology, 12, Article 688165. https://doi.org/10.3389/fpsyg.2021.688165

Schank, R. C. (2011). Roger Schank on invisible learning, real learning, real memory. Education Futures. https://educationfutures.com/blog/2011/09/roger-schank-on-invisible-learning-real-learning-real-memory/

U.S. Department of Education, Office of Educational Technology. (2023). Artificial intelligence and the future of teaching and learning. U.S. Department of Education. https://tech.ed.gov/ai-future-of-teaching-and-learning/

Vygotsky, L. S. (1978). Mind in society: The development of higher psychological processes. Harvard University Press.