Collaboration scripts are widely employed in online collaborative learning to enhance student engagement and facilitate collaboration. However, the optimal level of scripting remains a subject of debate. This study aims to address this issue by designing and developing different types of collaborative scripts implemented through conversational…

This study leverages the Stimulus-Organism-Response (S-O-R) framework to investigate the effects of teacher and technical support (TCHS) on learners' willingness to communicate (WTC) in artificial intelligence (AI)-enhanced English as a foreign language (EFL) contexts, considering the mediating effects of learners' artificial intelligence literacy…

Artificial intelligence (AI) driven chatbots provide instant feedback to support learning. Yet, the impacts of different feedback types on behavior and brain activation remain underexplored. We investigated how metacognitive, affective, and neutral feedback from an educational chatbot affected learning outcomes and brain activity using functional…

Massively open online courses (MOOCs) offer learners opportunities for self-improvement and knowledge development. Linking cognitive processes and learning outcomes is helpful in supporting students learning with the help of MOOCs. Based on the cognitive presence of the Community of Inquiry framework, this study quantified the effect of cognitive…

This paper presents our efforts to develop a scale for measuring students' learning experiences with knowledge-based chatbots in massive open online courses (MOOCs) through three studies. In Study 1, we conducted a qualitative synthesis of the current literature and analyzed students' open-ended responses regarding their experiences with a…

This study examines the impact of feedback assisted by generative artificial intelligence (GAI) on the dynamics and outcomes of online inquiry-based discussions (IBDs) in a higher education context. Specifically, it compares two distinct feedback types powered by GAI: idea-oriented and task-oriented. The study involved 105 preservice teachers from…

There appears to be an increasing acceptance of Artificial Intelligence (AI) across society. As people become more comfortable with AI's use in advertising, basic services and other areas of day-to-day life, the question arises will students also be willing to accept AI in learning situations. Furthermore, what are the impacts on both the student…

The "community of inquiry" framework examines the interplay between four kinds of presence (teaching, cognitive, social, and learner) to promote effective learning in online education. This paper investigates the impact of "instructor participation" ("IP"), a key component of "teaching presence," on student…

While societies struggle with the implications of text-based generative artificial intelligence (TGENAI), businesses are embracing the technology. Using framing, this original activity unit prepares business communication students for professional TGENAI use. Activities emphasize the need for an effective cognitive frame, as well as introduce…

Purpose: Digital technology's integration into education has transformed learning frameworks, necessitating the exploration of factors influencing students' engagement in digital informal settings. This study, grounded in self-determination theory (SDT), proposes a model comprising artificial intelligence (AI) competence, chatbot usage, perceived…

This study aimed to examine sustainable effects of chatbot-based formative feedback on intrinsic motivation, cognitive load, and learning performance. A longitudinal quasi-experimental design with 173 undergraduate students was conducted. The experiment is a between-subject design. Students either received formative feedback from a chatbot or a…

Background: Digital game-based learning (DGBL) has shown promise in enhancing learning and motivation, with appropriate scaffolding playing a crucial role in facilitating student inquiries and knowledge acquisition through science games. While scaffolding is generally effective in promoting learning in DGBL, there is variability among different…

Traditional assessment in international sports communication is often fragmented and subjective, limiting timely, learner-centered feedback. This study presents a curriculum framework enhanced by generative artificial intelligence, coupled with a deep learning (DL) model for instructional effectiveness assessment in international sports…

The development and improvement of effective tools for predicting human behavior in real life through the features of its virtual activity opens up broad prospects for psychological support of the individual. The presence of such tools can be used by psychologists in educational, professional and other areas in the formation of trajectories of…

The current study seeks to shed light on the usage habits of the "WhatsApp" application among teenagers, exploring the effect of mobile instant messaging distractions on pupils' working memory performance. Research was conducted in Israel during 2016 school year. The study sample was divided into two groups randomly--a control group and…