AIL 690, the Seminar in Instructional Technology, was where the foundational knowledge built across the program matured into genuine scholarly analysis. More than any other course, it trained me to read research critically, synthesize across studies, and position my own work within established theory, the precise capabilities my degree goal of completing a rigorous dissertation demands, and the scholarly habits my professional goal of contributing publications and conference presentations requires.
The seminar’s engagement with computer-supported collaborative learning (CSCL) was especially formative. Writing an essay tracing CSCL’s history, from early forerunners such as the ENFI project at Gallaudet, CSILE at Toronto, and the Fifth Dimension project at UC San Diego, to its emergence as a field in the 1990s, taught me to understand a research tradition rather than just its current tools. The modules on transactive memory and CSCL scripts deepened this. Studying how scripts help groups develop a shared awareness of “who knows what” (Noroozi et al., 2013) and how collaborative support can progress from simply mirroring learners’ actions to actively guiding them (Soller et al., 2005) gave me concrete design frameworks for balancing structure with learner autonomy. I found these directly relevant to my interest in scalable interventions, where well-designed scripts can facilitate peer-supported learning in settings where human scaffolding is scarce.
The course’s breadth stretched me across the full arc of the field. In early modules I produced a comparative analysis of behaviorism and cognitivism and built a constructivism concept map, an exercise that, fittingly, became a constructivist experience in itself as I repeatedly revisited the readings to map interconnections I had first overlooked. A journal-analysis assignment on the Journal of Interactive Learning Environments taught me to detect field-level trends, and I identified immersive virtual reality and generative AI (especially ChatGPT) as the dominant currents, an analysis that sharpened my awareness of where my own research sits. Later modules built scholarly range further: a position statement argued that technology-enhanced formative assessment can develop self-regulated learning (Black & Wiliam, 2009), an essay examined how scaffolding and metacognitive strategies work together, and a professional-development instructional video distilled problem-based learning into a concise, well-structured resource.
Across all of this, the seminar reinforced one disciplined conviction: instructional technologists must analyze both the possibilities and the limitations of technology, ensuring that pedagogical goals drive design rather than the reverse. AIL 690 elevated my capacity to conduct doctoral research that is grounded in established frameworks yet responsive to innovation, and it gave me the analytic confidence to see myself not only as a user of technology but as a scholar who studies and improves it.
References
Black, P., & Wiliam, D. (2009). Developing the theory of formative assessment. Educational Assessment, Evaluation and Accountability, 21(1), 5–31. https://doi.org/10.1007/s11092-008-9068-5
Noroozi, O., Biemans, H. J. A., Weinberger, A., Mulder, M., & Chizari, M. (2013). Scripting for construction of a transactive memory system in multidisciplinary CSCL environments. Learning and Instruction, 25, 1–12. https://doi.org/10.1016/j.learninstruc.2012.10.002
Soller, A., Martínez, A., Jermann, P., & Muehlenbrock, M. (2005). From mirroring to guiding: A review of state of the art technology for supporting collaborative learning. International Journal of Artificial Intelligence in Education, 15(4), 261–290.
