Effects of a computerbased learning environment that teaches older adults how to install a smart home system Abstract   In this study, we examined the teaching effectiveness of three strategies (trialanderror, textbook, and combination) via a computerbased learning environment (CBLE) that teaches smarthome installation (SHiB). One hundred and twentyfive participants were randomly assigned to one of the strategies and tested with SHiB CBLE. Findings revealed that participants in the combination condition performed significantly better than those in the textbook (control) group with medium effectsize (gxe2x80xafxe2x80xaf0.70). Senior participants in the trialanderror group performed significantly better than those in the control condition with large effectsize (gxe2x80xafxe2x80xaf0.89). Younger participants in the combination condition performed significantly better than those in the control condition with medium effectsize (gxe2x80xafxe2x80xaf0.70). Results suggest that the teaching strategies had differential effects due to age groups.

Effectiveness of Storybased Visual and Agile Teaching Method for Nontechnical Adult Learners Who Want to Understand Artificial Intelligence This study proposes and evaluates an effective teaching method for nontechnical adults who want to understand artificial intelligence (AI). As the number of nontechnical business professionals who want to improve their participation in technical discussions is increasing, it becomes important to find effective teaching methods for nontechnical adults who need to understand core technical concepts in which they are involved reasonably. The proposed teaching method utilizes the active use of visual feedback and agile practices to overcome the challenges the adult learners face. In this study, we evaluated the effectiveness of the proposed teaching method by the open coding method to analyze the freeform responses and by the paired ttest over the responses to the questions asked to the participants before and after the lecture. We found that this teaching method effectively supported the learners to understand the basic technical concepts of AI within one or twoday time frame. We also confirmed the nontechnical adult learners had significantly changed their attitude toward understanding AI from initially negative to positive with a good expectation of success in understanding AI, which is one of the important outcomes for the learners as the expectancyvalue theory predicts their future performance on understanding AI.