Examining the Effect of Semantic Relatedness on the Acquisition of English Collocations.

This study examines whether semantic relatedness facilitates or impedes the acquisition of English collocations by conducting two experiments respectively on Chinese undergraduates. Each experiment was composed of a reading session, a productive test, and a receptive test. Experiment 1 began with the reading session of 28 paired-up words and their collocations (in sentence context). Those words were counterbalanced between two randomly selected groups by cross-matching on semantic relatedness. Results of the productive test revealed that the participants scored significantly higher on test items that were semantically related than the randomly cross-paired counterparts. However, for the receptive test, the participants performed significantly better on semantically unrelated items. Experiment 2 was similar to Experiment 1 except that the word pairs selected were only semantically related and did not have any shared morphemes. Experiment 2 also revealed consistent results. The results of the two experiments consistently illustrate that semantic relatedness may exert a facilitatory effect on language output but an inhibitory effect on the process of language input.

Promoting Secondary Students' Twenty-First Century Skills and STEM Career Interests Through a Crossover Program of STEM and Community Service Education.

STEM education has been regarded as an important educational initiative for cultivating students' twenty-first century skills. The present work aimed to explore ways to promote students' twenty-first century skills through an integrated STEM-based curriculum. Specifically, we designed and implemented an 8-week crossover program of STEM and community service education. In this program, students learned about STEM domain knowledge and community service issues. They then applied the knowledge to solve authentic problems faced by Hong Kong community-housing residents from disadvantaged groups. A mixed-method approach was employed to evaluate the effectiveness of the program in enhancing students' twenty-first century skills and attitudes, including (i) creative thinking, (ii) collaboration, (iii) perseverance, as well as their (iv) STEM career interests. The research participants were 121 secondary students from a government-subsidized school. The quantitative results showed that the participants' creative thinking, collaboration, and perseverance improved alongside their STEM career interests. These findings were further supported by the data gathered through focus-group interviews. This study provides theoretical and practical insights into the integration of STEM education with community service learning.

Understanding Medical Students' Perceptions of and Behavioral Intentions toward Learning Artificial Intelligence: A Survey Study.

Medical students learning to use artificial intelligence for medical practices is likely to enhance medical services. However, studies in this area have been lacking. The present study investigated medical students' perceptions of and behavioral intentions toward learning artificial intelligence (AI) in clinical practice based on the theory of planned behavior (TPB). A sum of 274 Year-5 undergraduates and master's and doctoral postgraduates participated in the online survey. Six constructs were measured, including (1) personal relevance (PR) of medical AI, (2) subjective norm (SN) related to learning medical AI, (3) perceived self-efficacy (PSE) of learning medical AI, (4) basic knowledge (BKn) of medical AI, (5) behavioral intention (BI) toward learning medical AI and (6) actual learning (AL) of medical AI. Confirmatory factor analysis and structural equation modelling were employed to analyze the data. The results showed that the proposed model had a good model fit and the theoretical hypotheses in relation to the TPB were mostly confirmed. Specifically, (a) BI had a significantly strong and positive impact on AL; (b) BI was significantly predicted by PR, SN and PSE, whilst BKn did not have a direct effect on BI; (c) PR was significantly and positively predicted by SN and PSE, but BKn failed to predict PR; (d) both SN and BKn had significant and positive impact on PSE, and BKn had a significantly positive effect on SN. Discussion was conducted regarding the proposed model, and new insights were provided for researchers and practitioners in medical education.

Integrating Automatic Speech Recognition Technology Into Vocabulary Learning in a Flipped English Class for Chinese College Students.

Although the automatic speech recognition (ASR) technology is increasingly used for commercial purposes, its impact on language learning has not been extensively studied. Underpinned by the sociocultural theory, the present work examined the effects of leveraging ASR technology to support English vocabulary learning in a tertiary flipped setting. A control group and an experimental group of college students participated in a 14-week study. Both groups had their English classes in a flipped fashion, but the experimental group was assigned with ASR-assisted oral tasks for pre-class self-learning. The pre- and post-intervention in-class task performance of both groups was audio-recorded and transcribed for data analysis. The triadic complexity-accuracy-fluency (CAF) framework was adopted to evaluate the participants' vocabulary learning. The between- and within-subjects effects were examined mainly through procedures of MANCOVA and mixed-design repeated measures ANCOVA. Results showed that on all the metrics of lexical complexity and speed fluency, the experimental group outperformed the control group, and had significant growth over time. On the other hand, the control group only improved significantly overtime on the G-index. On lexical accuracy, there was no significant difference between the two groups, and the within-subjects effect was not significant for either group. The findings lent some support to Skehan's Trade-off Hypothesis and discussions were conducted regarding the triarchic CAF framework.

Teachers' Conceptions of Teaching Chinese Descriptive Composition With Interactive Spherical Video-Based Virtual Reality.

Phenomenographic research about teachers' conception of teaching has consistently revealed that teachers' conception of teaching influence their classroom practices, which in turn shape students' learning experiences. This paper reports teachers' conceptions of teaching with regards to the use of interactive spherical video-based virtual reality (ISV-VR) in Chinese descriptive composition writing. Twenty-one secondary teachers in Hong Kong involved in an ISV-VR-supported Chinese descriptive writing program participated in this phenomenographic study. Analyses of the semi-structured interviews establish seven conception categories that are specifically related to the use of ISV-VR for descriptive Chinese composition writing: (1) offering students more observational opportunities; (2) improving students' writing skills; (3) promoting students' learning participation and motivation; (4) shifting learning from teacher-centric to student-centric, (5) enhancing collaborative learning among students; (6) cultivating students' positive values and moral character, and (7) shaping students' self-identity as "writers." The concurrent and convenient access to the ISV-VR resources was for the teachers an enriched and supportive environment for them to cultivate students' writer identity. In addition, it was discovered that the structural relationships of the conceptions may be better organized along three axes of continuum: conception's orientation, teaching attention locus, and understanding of writing. These categories form a hierarchy from skill-oriented to community-oriented, and finally to identity-oriented conception. The findings may provide researchers and practitioners with novel insight into the teaching of composition writing in the contexts of L1 acquisition supported by virtual reality technology.

Validating the General Extended Technology Acceptance Model for E-Learning: Evidence From an Online English as a Foreign Language Course Amid COVID-19.

The present study validated the general extended technology acceptance model for e-learning (GETAMEL) with the survey data from the English as a foreign language (EFL) online class during the novel coronavirus lockdown period. A total of 678 undergraduates participated in the survey. Structural equation modeling was employed to analyze the data. The results showed that the influence of perceived usefulness of students on their intentional behavior to use the online learning system was not mediated by their attitude, indicating a very limited role of attitude toward technology in the model. Enjoyment and self-efficacy had no significant effects on the internal constructs, raising theoretical concerns on the applicability of this general model into specific contexts. In addition, we found that experience might be a moderator rather than an antecedent of the internal constructs in the model.