This paper examines university students' perceptions of and experiences with using ChatGPT, a generative artificial intelligence (GenAI) tool, to enhance their experiential learning. In this exploratory study, we designed a ChatGPT learning activity flow corresponding to the four experiential learning steps. Analysis of survey data collected from…

Recent context-control learning studies have shown that switch costs are reduced in a particular context predicting a high probability of switching as compared to another context predicting a low probability of switching. These context-specific switch probability effects suggest that control of task sets, through experience, can become associated…

The overarching goal of our project is to design effective learning activities for PyKinetic, a smartphone Python tutor. In this paper, we present a study using a variant of Parsons problems we designed for PyKinetic. Parsons problems contain randomized code which needs to be re-ordered to produce the desired effect. In our variant of Parsons…

In this study, we investigated the learning of indexical features by English-speaking adults using a novel experimental paradigm. In a conceptual replication of Rácz, Hay, and Pierrehumbert (2017), participants learned an allomorphy pattern cued by a given social context. The social contexts were represented by conversation partners who differed…

Background: Engaging students in computer-assisted guided inquiry learning has great potential to scaffold their scientific understanding: Students are expected to improve their scientific problem-solving skills, and at the same time gain a deep conceptual understanding of the subject-matter. Additional generative activities such as creating video…

Studying with digital media, learners often struggle because of inadequate self-regulation. Previous research presented clear evidence of metacognitive prompts being effective in supporting learning with digital media. This study examines the potential of motivational regulation prompts, which are assumed to additionally support self-regulated…

Word learning can build the high-quality word representations that support skilled reading and language comprehension. According to the partial knowledge hypothesis, words that are partially known, also known as "frontier words" (Durso & Shore, 1991), may be good targets for instruction precisely because they are already familiar.…

In this paper, we explore the use of concept maps (Cmaps) as instructional materials prepared by teachers, to foster the understanding of chemistry. We choose fireworks as a macroscopic event to teach basic chemical principles related to the Bohr atomic model and matter-energy interaction. During teachers' Cmap navigation, students can experience…

The studies regarding using a cross sectional view of speech organs enriched with attention cueing and written text to probe learners' learning efficiency and behavior through mobile phones is scant. The purpose of this study was to examine whether the presence of attention cueing can benefit learners with different amounts of prior knowledge in…

Word learning can build the high-quality word representations that support skilled reading and language comprehension. According to the partial knowledge hypothesis, words that are partially known, a.k.a. "frontier words" (Durso & Shore, 1991), may be good targets for instruction precisely because they are already familiar. However,…

The PFC plays a central role in our ability to learn arbitrary rules, such as "green means go." Previous experiments from our laboratory have used conditional association learning to show that slow, gradual changes in PFC neural activity mirror monkeys' slow acquisition of associations. These previous experiments required monkeys to repeatedly…

Biochemistry education relies heavily on students' ability to visualize abstract cellular and molecular processes, mechanisms, and components. As such, biochemistry educators often turn to external representations to provide tangible, working models from which students' internal representations (mental models) can be constructed, evaluated, and…

Four experiments with college undergraduates examine interactions between linearly separable and nonlinearly separable abstract category structures, different knowledge types, and instructions on classification learning tasks. Implications for independent cue models and interactive cue models are discussed. (LMO)

The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…