Reading Reflection

My biggest takeaway is that teachers really need to think about which type of game fits their goals. For example, if the goal is memorization, then a simple drill app might actually work. But if the goal is creativity or collaboration, then something like MinecraftEdu or Scratch makes much more sense. I definitely agree with Wu’s point that teachers have to understand both the games themselves and the learning theory behind them to really make game-based learning effective.

Reflection on Wu (2018) – Educational Game Design as Gateway for Computational Thinking

The second article felt even more practical to me because it followed real middle school students learning through game design workshops. I thought it was interesting how Wu focused on computational thinking skills like breaking problems into parts, recognizing patterns, and designing algorithms. These are skills that aren’t just for computer science; they’re useful in everyday problem-solving.

What stood out to me most were the three student stories. Kevin, the expert gamer, quickly became a leader and helped others. Steven struggled at first but improved when the tasks connected with what he cared about. Claire worked more independently but still created thoughtful and creative designs. To me, this shows that students will engage with games in different ways, and that’s okay. I really agree with Wu that learning is most effective when students work in contexts that feel real and meaningful to them.

Putting both readings together, I see how they connect: the first article gives the big picture of different game types and how they tie to learning theories, while the second article zooms in on one approach using design tools to show how it can actually work in practice. My takeaway is that digital games can support so many kinds of learning, but the real key is how teachers use them. I agree with Wu’s overall message that games shouldn’t just be about fun; they should be matched with clear learning goals so they can help students build real skills like problem-solving, creativity, and collaboration.

References

Wu, M. L. (2018). Making sense of digital game-based learning: A learning theory-based typology useful for teachers. Journal of Studies in Education, 8(4), 1–25.

Wu, M. L. (2018). Educational game design as gateway for operationalizing computational thinking skills among middle school students. International Education Studies, 11(4), 15–27. 

Thoughts on the Three Readings

Shelton & Wiley, 2004 : Instructional Designers Take All the Fun Out of Games

One of the most important things I learned from this post is how easy it is for instructional design to ruin the fun that makes games so compelling. I hadn’t thought about how things like saying what the learning goals are ahead of time or giving tests after the lesson may mess up the flow of a game. I learned that learning doesn’t necessarily have to be declared; it can be found.

I completely agree with their notion that presenting stories (through dramatic circumstances) can make learning feel more natural and real. I could see how putting goals into a story instead of stopping the game to discuss them might keep learners interested. That thought truly remained with me. It also reminded me that engagement isn’t just about bright images; it’s about keeping curiosity, challenge, and a sense of ambiguity alive (Shelton & Wiley, 2004). I now understand how crucial it is to protect those parts of any educational experience I plan.

 Best Practices for Integrating Game-Based Learning into Online Teaching (McDaniel & Telep)

This article made me think more about how games can be used in the classroom. I learnt that games don’t have to be big or high-tech to be effective; even simple, low-tech games can be strong if they are clearly connected to learning goals (McDaniel & Telep, 2009). That made me feel better because it proves that GBL is doable even without a lot of money or fancy instruments.

I also appreciated that they wanted students to make or criticize games, not just play them. That made me think about how letting students take charge might make them more motivated and help them think more deeply. I completely agree with their notion that it is important to have defined learning goals and to talk about what happened after the game (McDaniel & Telep, 2009). It made me think that play can lose its meaning if you don’t think about it afterward. Students need time to think about what they did and how it relates to their learning goals.

I also learned that being flexible is important. Instead of being too strict, teachers can let students explore and perhaps be surprised. I want to bring that kind of thinking into my future teaching since it makes me feel free.

 Getting Instructional Designers Ready for Game-Based Learning (Hirumi, Appelman, Rieber, & Van Eck)

This was the hardest part for me. It made me think about how much more work instructional designers need to do in the context of GBL. I learnt that designers need to know more than just how to teach. They also need to know how to convey stories creatively, design interactions, improve user experience, and even how to code or make things seem good (Hirumi et al., 2010).

I really agreed with their point that instructional design can’t just be analytical; it also has to be creative. That confirmed what I’ve always thought: making learning fun is more like art than just following a list. I enjoyed how they compared game design to writing a tale, where structure is just as important as emotion, flow, and playfulness (Hirumi et al., 2010).

I really liked how they asked for people to work together and across disciplines. It got me thinking about how I could work with artists, coders, and content experts to make learning spaces more interesting. I now understand that being an instructional designer for GBL requires being open to learning from other professions and designing for immersion, not simply knowledge.

These readings changed the way I think about learning through games. They taught me that pleasure and learning aren’t opposites; if you plan them well, they can work together to make each other better. I learned that my job as an instructional designer should be to keep people interested while gently adding learning goals to the experience instead of imposing stuff on them.

I also realized that GBL is not just about utilizing games to teach; it’s also about making learning fun, hands-on, and focused on the student. I completely agree with that way of thinking being innovative, adaptable, and working together and I want to develop that into my own practice.

References 

Shelton, B. E., & Wiley, D. (2004). Instructional designers take all the fun out of games: Rethinking elements of engagement for designing instructional games. Utah State University.

Hirumi, A., Appelman, B., Rieber, L., & Van Eck, R. (2010). Preparing instructional designers for game-based learning: Part 2. TechTrends, 54(4), 19–27.

McDaniel, R., & Telep, P. (2009). Best practices for integrating game-based learning into online teaching. MERLOT Journal of Online Learning and Teaching, 5(2), 1–18.

Vlachopoulos and Makri’s (2017) systematic review demonstrated that games and simulations in higher education frequently improve cognitive abilities, behavioral outcomes such as teamwork, and affective aspects including motivation. But their results were careful: games perform best when they add to traditional instruction, not when they take its place. I agree with this argument since I’ve seen kids get excited about simulations and coding games in digital literacy workshops, but those advantages only sustained when we connected them to real lectures or tasks.

Koehler et al. (2017) looked at how gamers review games to get a different but related point of view. I liked how they reminded us that regular gamers don’t only talk about how games work; they also look at them as a whole, compare them to other games, and even estimate how much time and money they are worth. This struck a chord with me because it reminds me of education: students also judge their learning experiences in their own ways, sometimes putting more weight on fairness, enjoyment, or relevance than on formal results. It made me think: would we create educational games differently if we paid more attention to what students say about them?

Li et al. (2019) focused on teacher professional development, detailing how international EFL teachers in the TIES program enhanced their technological competencies without markedly altering their perspectives on technology integration. I knew this finding quite well. In Ghana, I’ve seen teachers who learn how to use projectors or apps but are still afraid to use them every day because they think that’s not how “real teaching” should be done. It made me remember that changing people’s ideas is frequently tougher than teaching them how to do things, and that social support networks, like the Facebook group Li and colleagues talked about, are really important for keeping change going.

Lastly, Tobias, Fletcher, and Wind (2014) wrote a very thorough assessment of the studies on learning through games. They stressed that games can only help you learn when the cognitive processes in the game are similar to the skill you want to acquire. They also said that games perform best when they are part of a class, not just played on their own. I liked how they looked at all sides of the issue. They said that games can help with focus or problem-solving, but they can also be off, which wastes time. They truly stood out when they told people not to think that “fun equals learning.” It was like what I’ve seen in workshops: kids can spend hours on a game, but if we don’t relate it to what they need to learn, the learning isn’t deep.

In all four readings, I detect a unifying theme: games and technology are not magic bullets. Their effect depends on how well they are designed, how well they fit into learning, and how well they take into account the needs of the users, who could be students, teachers, or gamers. The most important thing I learned is how important it is to listen: to gamers about what makes games relevant, to instructors about their problems, and to kids about how games integrate into their learning. I agree with all four works; however I agree with Tobias et al. (2014) that enthusiasm can occasionally get ahead of evidence. My next question is: how do we keep this excitement while simultaneously being strict such that game-based learning is not just fun but also life-changing?

References

Koehler, M. J., Arnold, B., Greenhalgh, S. P., Boltz, L. O., & Burdell, G. P. (2017). A taxonomy approach to studying how gamers review games. Simulation & Gaming, 48(3), 1–18. https://doi.org/10.1177/1046878117703680

Li, L., Murnen, T., Zhou, Y., Wu, M. L., & Xiong, Y. (2019). Globalizing technology education for teachers: The dual challenge of strengthening skills and changing perceptions. Journal of Technology and Teacher Education, 27(1), 5–7.

Tobias, S., Fletcher, J. D., & Wind, A. P. (2014). Game-based learning. In J. M. Spector et al. (Eds.), Handbook of research on educational communications and technology (pp. 485–503). Springer. https://doi.org/10.1007/978-1-4614-3185-5_38

Vlachopoulos, D., & Makri, A. (2017). The effect of games and simulations on higher education: A systematic literature review. International Journal of Educational Technology in Higher Education, 14(22), 1–33. https://doi.org/10.1186/s41239-017-0062-1

Chapter 6 made me think about how education has always changed to meet the requirements of society. The apprenticeship age was about acquiring a trade, the universal-schooling era was about making citizens and teaching a common body of knowledge, and now we are going into the era of lifelong learning (Collins & Halverson, 2009, p. 91). The idea of choice and customization really sticks with me. I see this happening in my own life; I didn’t just stick to one field. I switched from studying psychology to studying gender, and now I’m going to study instructional technology. In today’s environment, when learning is more flexible and self-directed, that kind of path only makes sense (Collins & Halverson, 2009, p. 94).

Chapters 9 and 10 made me ponder about the contradiction between school and the outside world of learning.  The authors demonstrate that children frequently possess greater knowledge of new technology than their parents or educators, rendering them a “force for social transformation” (Collins & Halverson, 2009, p. 123). I know from experience how much young people can learn from games, coding bootcamps, or even short lessons on TikTok. At times, these experiences were more inspiring than regular classes. I’ve had to teach older coworkers how to use apps like Google drive or Canva, and it feels like a major shift of power when I have to teach them something. It makes me think that schools should consider kids as more than just learners; they should also see them as co-creators.

So, these chapters make me feel both hopeful and a little anxious. Simulations, tailored scaffolding, and global learning networks (Collins & Halverson, 2009, p. 22) get me optimistic about the future. On the other hand, I understand how schools can be quite reluctant to change, especially when fairness is at issue (Collins & Halverson, 2009, p. 129). Technology can help students learn, but it can also make things worse if not everyone can use it. The goal for me is to figure out how to use my future job as a researcher and instructional designer to make learning that is both new and open to everyone.

Reference

Collins, A., & Halverson, R. (2009). Rethinking education in the age of technology: The digital revolution and schooling in America. Teachers College Press.

Community and Partnership

From Dani et al. (2020), I learned that real learning partnerships go beyond universities “serving” communities. The authors emphasized reciprocity working with communities to solve problems together. Their use of transformative learning theory reminded me that adults learn best through reflection and authentic experiences. This idea connects to my own work in Ghana and Athens, where collaboration requires humility, trust, and shared goals. I also liked their idea of “glocality,” which blends global and local perspectives. It reminds me that even local projects can have wider global impact when people work together meaningfully.

Motivation and Play in Learning

In Wu, Zhou, and Li (2023), I was drawn to how gamification made learning more joyful and less stressful. Their “quest-based” design encouraged students to explore technology with freedom and curiosity, while removing the fear of failure through unlimited revisions. This made me think differently about assessment how it can motivate learners instead of creating anxiety. I realized that effective technology design is not about the newest tools but about creating choice, engagement, and confidence.

Growth and Confidence in STEM

Wu and Zhou (2025) built on this by showing how online professional development can improve teachers’ confidence and skills in STEM education. I was encouraged by how teachers’ self-efficacy and value for STEM grew after taking an online course. It reinforced the idea that professional learning never ends; it must evolve with new technology and changing classroom needs. Their rejection of the “one-course” model for teacher education made me think about how ongoing support and collaboration are key to sustainable growth.

Collaboration and Interaction

Saçak and Kavun (2019) helped me think about how online collaboration really works. Using Harasim’s Online Collaborative Learning (OCL) theory, they explained that true collaboration goes through stages from sharing ideas to reaching shared understanding. Tools like Flipgrid and VoiceThread can support this, but only if teachers guide students intentionally. I realized that in my own online discussions, I often stop at just responding to others without building shared meaning. This reading encouraged me to design activities where students summarize and synthesize each other’s ideas so learning becomes collective.

Invisible Assessment and Authentic Learning

Ren (2019) introduced the idea of stealth assessment, where learning and evaluation happen naturally inside a game. Instead of traditional tests, this approach measures skills like creativity, persistence, and teamwork as learners play. I found this powerful because it turns assessment into part of learning rather than a separate event. It respects the learner’s process and reduces anxiety, which feels fair and inclusive. It also expands what we value in education not just correct answers but growth, curiosity, and collaboration.

Integrative Insight

When I connect these readings, I see a common thread: authentic learning happens through participation, reflection, and trust.

• Dani et al. show collaboration with communities.
• Wu et al. (2023) focus on partnership with students through gamified learning.
• Wu & Zhou (2025) emphasize partnership with teachers through continuous development.
• Saçak & Kavun explain how interaction builds understanding.
• Ren demonstrates how assessment can be hidden within the learning process itself.

All five suggest that technology can connect people and ideas when used with purpose. It becomes a tool for human growth rather than control.

Personal Takeaway

These readings made me think deeply about the kind of learning environments I want to create. I want my teaching and design work to be authentic, motivating, and inclusive spaces where learners can explore, collaborate, and grow without fear. I see myself continuing to blend community engagement, digital innovation, and STEM learning in ways that empower others. Whether in Ghana or globally, I want to design experiences that respect learners’ autonomy and connect education to real-world change.

Eynon’s article about Big Data was one of the earliest voices warnings that collecting huge amounts of educational data might not always be good. She believed that while data can help us understand students better, it can also become a “quick fix” that ignores bigger social and ethical issues. Reading this reminded me of how schools today use AI to track learning, which connects well to Ren and Wu’s (2025) article. They also stress that we need ethical thinking and teacher training before rushing to use AI in classrooms. Both authors push us to slow down and think about fairness, privacy, and human judgment when using new technology.

The Horizon Report (2023) and Osisanwo et al. (2016) take a more positive view. They show how technology can make learning more flexible, personal, and connected. The Horizon Report lists trends like AI-based learning, HyFlex models, and microcredentials, while Osisanwo explains how IoT can connect students, teachers, and resources in real time. Both highlight the idea of connection not just through devices but through relationships, collaboration, and access. I liked how both remind us that the goal is not technology itself but belonging and inclusion in learning spaces.

Rudolph et al. (2023) bring a more cautious voice with their discussion on ChatGPT and the future of assessment. They compare the excitement around ChatGPT to earlier waves of “tech revolutions” in education, such as online courses and computers, that never fully replaced traditional learning. Their point is that AI might not end exams or essays, but it should push teachers to design more creative and critical assessments. This connects closely to Kocatas and Wu (2024), who found that many professors are curious about using AI but lack training or clear guidelines. Both studies remind us that teacher, not machines, are at the heart of meaningful learning. Without proper support and understanding, even the best tools can fail to improve education.

Ren and Wu (2025) build on these ideas by showing what teachers actually need to use AI well. Their framework (called intelligent TPACK) blends technology, pedagogy, and ethics. They describe how teachers should develop skills to work with AI as a partner, not a replacement. I found this idea powerful because it connects everything I read: technology works best when it supports not replaces human creativity, empathy, and judgment.

Altogether, these authors give a balanced picture of education’s future. Some focus on opportunities like personalization, flexibility, and global connection while others warn about challenges like inequality, lack of training, and ethical risks. What stands out is the shared belief that education must stay human-centered. Technology should help us teach better, reach more learners, and make learning fairer for everyone, but it cannot replace care, guidance, or community.

As someone studying instructional technology, these readings reminded me why I chose this path. I want to use digital tools not just to innovate but to empower people, especially in communities where access to quality education is still uneven. The message from all six authors is clear: the future of teaching will depend on how well we balance innovation with humanity.