50 JAAR HIGH TECH, HUMAN TOUCH Go-Lab: a portal for pedagogically embedded online labs Ton de Jong University of Twente The Netherlands
We need engaging (science and engineering) instruction
What can we do? o Constructive (inquiry) learning o Computer simulations/ games o Modeling (design) environments o Collaborative learning o Shared objects o Chats, video conferencing o Situated learning o Simulators, videos
Are virtual labs/simulations effective? If well designed, guidance included, inquiry- based learning with online labs and simulations shows an advantage over expository instruction de Jong, T. (2006). Computer simulations - Technological advances in inquiry learning. Science, 312, 532-533.
Example meta-study • 59 studies included, 128 effect sizes • 59 studies included, 128 effect sizes • Inquiry skills • Achievement outcomes – Simulation = No simulation (N = 347) – Simulation > No simulation (N = 2947) – Simulation plus > Simulation (N = 689) – Simulation plus > Simulation (N = 3342) – Moderately high effect size – Moderately high effect sizes d'Angelo, C., Rutstein, D., Harris, C., Bernard, R., Borokhovski, E., & Haertel, G. (2014). Simulations for STEM learning: Systematic review and meta-analysis . Menlo Park, CA: SRI International.
Are virtual labs/simulations effective? • Students in online labs gain the same level of knowledge or a more advanced level of knowledge than students who learn in a real laboratory de Jong, T., Linn, M.C., & Zacharia, Z.C. (2013). Physical and virtual laboratories in science and engineering education. Science , 340 , 305-308
Effectiviness of virtual labs compared to wet labs • The possibility to perform many more experiments • The possibility to augment labs • The possibility to combine labs with online pedagigical support
And how about remote labs? • The possibility to perform many more experiments • The possibility to augment labs (example Luis laser) • The possibility to combine labs with online pedagogical support
Problems in discovery • Poor hypotheses • Ineffective experiments • Engineering approach • Mistakes in data interpretation • No planning and monitoring (floundering) • etc.
Scaffolds in Go-Lab • Orientation phase: Concept map • Conceptualisation phase: Hypothesis/question scratchpad • Investigation – Experiment design tool – Observation tool – Data interpretation tool – Error measurement tool • Conclusion tool • Reflection tool
Example Guidance (Scaffold): Hypothesis scratchpad
Go-Lab online laboratories o Virtual laboratories Mimic physical equipment in software o Remote laboratories Physical equipment that can be operated on a distance o Data sets and their analysis tools Data gathered in real experiments
Go-Lab repository www.golabz.eu
Example Go-Lab environment The Go-Lab inquiry cycle displayed as tabs Prompts/assignments Heuristics Scaffold for this phase Heuristics Generic tools
Go-Lab in one slide Federation of online labs …. …. embedding them into educational resources and guidance …. .. to share with the community of users
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