Chatbot support for goal setting and social presence in fully online activities was evaluated through behavioral engagement from conversation records plus perceptions and interviews¶

Claim · All claims
Evidence · 1 study · design r2 · q2
Currency · newest study 2023 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q2 i? In both studies, behavioral engagement was measured by analyzing learners’ conversation records with the chatbots, alongside perceived usefulness, ease of use, and interview data. → Hew 2023

Evidence¶

Hew 2023¶

Hew, K. F., Huang, W., Du, J., & Jia, C. (2023). Using chatbots to support student goal setting and social presence in fully online activities: learner engagement and perceptions. Journal of Computing in Higher Education, 35, 40–68. https://doi.org/10.1007/s12528-022-09338-x

q2 · i? · design · r2

Design statement describing the mixed evaluation approach across both studies: conversation records as the behavioral engagement measure, perception measures, and in-depth interviews about “participants’ perceptions of interacting with the chatbots”.

"In both Study 1 and 2, we evaluated participants’ behavioral engagement by measuring their conversation records with the chatbots, as well as participants’ perceived usefulness and ease of use of the chatbots."

Discussion¶

Related Claims¶

• Learners in fully online courses reported positive perceived usefulness and perceived ease of use of both a goal-setting chatbot and a learning buddy chatbot — a narrower finding that bears on this claim
• Eight AI-driven factors positively influence learner satisfaction and engagement in online higher education — a broader claim this one bears on