Search

Background Study: As flipped learning is a flexible pedagogical methodology to tailor students' needs and maximize the learning effects, this study integrated peer learning with MosoTeach‐supported flipped mode in an undergraduate blended EFL course. MosoTeach is a popular online learning platform in China with a variety of learning resources. Objectives: The study aimed to test the impact of MosoTeach flipped learning (MTFL) mode on undergraduate EFL students' perceived motivation, participation, feedback, and test performance. Methods: A quasi‐experimental design was carried out in Z university during the spring semester of 2020, with the experimental group (n = 34) adopting the MTFL model and a control group (n = 33) the non‐flipped mode. Results and Conclusions: The independent t‐test results showed that the experimental MTFL group outperformed the control group in post‐test scores, and a positive correlation was found in the relationship between the experimental MTFL group's post‐test scores and MosoTeach learning experience points (LEPs). Moreover, the course perception questionnaire survey indicated a higher level of students' perceived motivation, participation, and feedback in the experimental MTFL group, which corresponded to the results of the content analysis of students' responses to open‐ended questions and reflective reports. But students in both groups experienced challenges such as isolation, procrastination and technological anxiety. Lay Description: What is currently known about this topicFlipped language learning is mostly reported to be effective in improving EFL learning.Peer learning is mostly reported to be effective in improving EFL learning.MosoTeach was investigated in English learning contexts before, but without experimental design. What this paper addsMosoTeach proved as a valid online learning platform in flipped language learning, and the learning experience points (LEPs) on MosoTeach could predict students' exam performance.Students in the experimental group (MosoTeach‐supported flipped) had better exam performance and a higher level of motivation, participation and feedback.Students in both groups experienced isolation, procrastination and technological anxiety. Implications for practice:Peer discussion boards in MosoTeach provide learning support effectively for students in pre‐class learning.Group projects and peer assessment in MosoTeach integrate pre‐class peer discussion into in‐class interaction successfully.MosoTeach provides equal opportunity for every student in the large‐size Chinese English classes, thus contributing to the equity of in‐class peer interactions. [ABSTRACT FROM AUTHOR]

Writing is a recording process involving complex dynamic behaviours, which is closely connected with authentic contexts. A free authentic context can form a link with students' life experience and their prior knowledge, so that students' deep writing skills can be stimulated. However, in traditional writing activities, the lack of authentic experience is an important reason for students' poor writing achievements and low behavioural engagement. To address this problem, the current study used a spherical video‐based virtual reality (SVVR)‐supported Chinese composition writing approach, which can provide authentic contexts to support students' deep writing. An SVVR experiential learning model was developed and a quasi‐experiment was conducted in a primary school to verify the effectiveness of the proposed approach. A total of 59 fourth‐grade students from China were recruited and were randomly divided into the experimental group, which adopted the SVVR‐supported learning approach, and the control group, which adopted the non‐SVVR‐supported learning approach. The results show that the proposed approach can promote students' transition of learning behavioural engagement from medium to high, as well as the development of deep writing skills. It was found that students learning with the SVVR approach who acquired better deep writing skills tended to demonstrate better writing performance in relation to linguistic expressiveness and creative thinking than the students learning with the non‐SVVR approach. Practitioner notesWhat is already known about this topic There is an urgent need to use immersive technologies to promote deep learning and stimulate students' learning behavioural engagement in writing.Spherical video‐based virtual reality (SVVR) is one of the immersive VRs with a low technical barrier and low cost, which meets the needs of school settings.SVVR has been applied in areas of language, engineering, science, etc., while its impacts on students' composition writing achievements have generally been ignored, especially in primary schools.The characteristics of immersion, interaction and imagination in SVVR that allow students to have opportunities of experiential learning can potentially promote students' writing performance.What this paper adds A novel experiential learning model supported by the SVVR learning system was developed.An SVVR‐supported composition writing approach based on the proposed experiential learning model was used to promote primary school students' deep writing.It was found that students' composition writing performance, learning behavioural engagement and deep writing skills can be improved by applying the SVVR‐supported learning approach in writing courses.Implications for practice and/or policy It is worth promoting the application of SVVR in school settings because it is a low‐tech and low‐cost method of creating immersive learning environments.The SVVR‐supported composition writing approach is useful for promoting primary school students' deep writing.Further investigations on the effects of employing this approach in writing, with careful consideration of the development for interactivities of SVVR, are expected. [ABSTRACT FROM AUTHOR]

As it is becoming extremely competitive in software industry, large software companies have to select their project portfolio to gain maximum return with limited resources under many constraints. Project portfolio optimization using multiobjective evolutionary algorithms is promising because they can provide solutions on the Pareto-optimal front that are difficult to be obtained by manual approaches. In this paper, we propose an improved MOEA/D (multiobjective evolutionary algorithm based on decomposition) based on reference distance (MOEA/D_RD) to solve the software project portfolio optimization problems with optimizing 2, 3, and 4 objectives. MOEA/D_RD replaces solutions based on reference distance during evolution process. Experimental comparison and analysis are performed among MOEA/D_RD and several state-of-the-art multiobjective evolutionary algorithms, that is, MOEA/D, nondominated sorting genetic algorithm II (NSGA2), and nondominated sorting genetic algorithm III (NSGA3). The results show that MOEA/D_RD and NSGA2 can solve the software project portfolio optimization problem more effectively. For 4-objective optimization problem, MOEA/D_RD is the most efficient algorithm compared with MOEA/D, NSGA2, and NSGA3 in terms of coverage, distribution, and stability of solutions. [ABSTRACT FROM AUTHOR]