Pictologics (PLS) is a language teaching method which relies on imaginative usage of pictures. The current paper reports the effects of applying this method on enhancing critical thinking ability of the Malaysian students. 69 students (32 boys & 37 girls) in two classes in a public primary school in Penang, Malaysia participated in this study. The experiment covered ten 1-hour sessions which were all audio-recorded and video-taped. The main objective was to engage the students in short conversations in English by using new words that they were learning via PLS. The following qualitative instruments were employed in this study: interviews with the teachers, focus group interviews with the students, a group interview with students’ parents, class check-list of the students’ behavior during the sessions, photos, and video footages. The findings reveal significant patterns of critical thinking among the students such as recognizing and criticizing assumptions, giving reasons to support a conclusion, incorporating isolated data into a wider framework, and using analogies to solve problems. The author strongly recommends application of adopted PLS techniques to be used either alone, or combined with the other conventional language teaching methods.

Computational thinking is a way of thinking that covers 21st century skills and includes new generation concepts such as robotics, coding, informatics and information construction. Computational thinking has reached an important point especially in the field of science in line with the rapid developments in technology. Robotics applications, software-based activities, STEM (Science, Technology, Engineering, Math) education and problem-based studies are some of the areas where this thinking is used. In this study, which is based on this point, it is aimed to develop a scale for computational thinking. Exploratory sequential design, one of the mixed research methods, was used in the study. First of all, a detailed literature review was conducted and needs analysis was carried out. This study consists of two stages. In the first stage, exploratory factor analysis was performed and analyzed with SPSS 23 program. In the second stage, confirmatory factor analysis was performed and analyzed with LISREL 9.2 program. As a result of the study, the goodness of fit indexes of the scale was found. According to this; X²/df value 1.81; NNFI value 0.97; NFI value 0.93; CFI value 0.98; RMR value 0.05; SRMR value 0.04; AGFI value 0.91 and GFI value was found to be 0.93. When the reliability values of the study were examined, Cronbach’s Alpha value was found to be 0.86. As a result of the research, a computational thinking scale consisting of 3 factors and 30 items was developed. This scale was developed for prospective teachers and can be used at all levels of prospective teachers.

It has been well documented that oral language skills are precursors of the development of written abilities, meaning that improving oral language skills, e.g. vocabulary, listening comprehension, could have positive effects reading comprehension. The main aim of the present study was to analyze the effect of a training program focused on four components of comprehension ability provided in listening or written modality on first-graders’ reading and listening comprehension. The training programs were implemented by school teachers as part of the class’s normal school activities, under the supervision of experts. Their efficacy was compared with the results obtained in a passive control group. Our results showed that both the training programs produced positive effects on listening and reading comprehension (by comparison with a passive control group), and that the gains in reading comprehension were maintained at a five-month follow-up. Findings demonstrated specific improvements in listening comprehension with the listening modality program, as well as an improvement in the modality not directly trained. A similar cross-modality effect was found from the written modality training group, therefore confirming the strict relation between oral and written abilities. Reading comprehension performance of first graders can be improved with activities provided in listening and written modality. Hence, it is possible to enhance reading comprehension even before decoding and fluency in reading are acquired.

The surge of learners being immersed in computer game contexts for learning has instigated dialogue about the contextually appropriate collection of reliable and valid data to inform education-based decisions. The purpose of this article is to develop educational practitioners’ understanding of preliminary research work, and to inform educational researchers about design and reporting of preliminary research work, in the context of reported preliminary studies on Digital Game-Based Learning Interventions (DGBLIs). First a checklist of processes for the reporting of preliminary studies is provided. Second, a summary is offered of the characteristics of each type of preliminary study including the description, objectives, and methodology. Third, an example from peer-reviewed literature is identified of each type of preliminary study relevant to DGBLIs and conducted within the past five years. Evident from the examples selected, educational researchers and practitioners are best advised to recognize the characteristics of preliminary studies — pilot work, feasibility study, pilot study, pilot trial, and field test — to better inform DGBLIs before embarking on a full-scale study, and to meet the need of educational practitioners for concrete evidence about DGBLIs.

In a situation where life is insecure and the future seems to hang by a thread, motivating students to learn a second language that has no immediate need in their daily lives could be challenging. This article explores the motivation to learn English as a second language of students and the use of motivational strategies of English teachers in one state of Myanmar, which has undergone civil wars for more than seventy years. Sequential explanatory mixed-method research was employed to investigate this complex phenomenon. Questionnaires, classroom observations, and semi-structured interviews were used to collect the data. A pleasantly surprised finding showed that the students could still remain a certain level of motivation to learn English amidst great hardship and fear in everyday life. As for the teachers’ motivational strategies, most that were observed and reported did not tend to support students’ autonomy. The findings lend support to previous studies on the effects of unstable sociopolitical situations on students and teachers and highlight the needs for effective teacher trainings for pre-service and in-service teachers in such areas.

This study aimed to develop an instructional design that focuses on programming teaching for gifted and talented students and to investigate its effects on the teaching process. During the development of the instructional design; the steps of Morrison, Ross and Kemp Instructional Design Model were followed. Embedded experimental design, one of the mixed-method research designs, was used in the modeling of the study. The participants consisted of students studying at the Science and Art Center (BILSEM) (experimental group: 13 girls and 12 boys, control group: 10 girls and 15 boys). While the instructional design developed by the researchers was applied to the gifted and talented students in the experimental group, the standard activities used in Information Technologies and Software Courses at BILSEM were applied to the gifted and talented students in the control group. “Computational Thinking Scale (CTS)”, “Torrance Creative Thinking Test (TCTT-Figural)” and “Computer Programming Self-Efficacy Scale (CPSES)” were used to collect the data of the quantitative phase of the study. Qualitative data were gathered by using interview form, observation forms, and design thinking rubric. Two-Factor ANOVA Test, Bonferroni Adjustment Multiple Comparisons Test, and interaction graphs were used to analyze quantitative data while qualitative data were analyzed by content analysis. The quantitative results of the research showed that the instructional design was effective on students' computational thinking and creative thinking skills, but not on programming self-efficacy. Qualitative findings revealed that the instructional design helped the students learn the computational concepts, use computational applications, and develop computational-perspectives. Also, students improved their design thinking skills to a certain level and expressed that they enjoyed the design thinking process, learned the course content, and experienced some difficulties.

The study's goal was to examine the correlation between the computer programming self-efficacy and computational thinking skills of gifted and talented students. The capacity of the computer programming self-efficacy of gifted and talented students to predict their computational thinking skills were also examined. The relational screening model has been implemented in the research. The participants of the study were composed of 106 secondary school gifted and talented students studying the Individual Ability Recognition Program (IAR) at the Science and Art Center in the city center. Typical case sampling was applied for the student identification of the participants, 46 are female and 60 are male. Gifted and talented students' computational thinking skills were assessed using the "Computational Thinking Skills Scale” and the computer programming self-efficacy was measured by using the "Computer Programming Self-Efficacy Scale". Data were analysed by Pearson correlation analysis and simple linear regression analysis in statistical software SPSS 22. Research results found that there was a positive and high correlation between the computer programming self-efficacy and computational thinking skills. The gifted and talented students' computer programming self-efficacy demonstrated 31.5% of the total variance in computational thinking skills. This finding supports the claim which is present in the literature that self-efficacy in computer programming is the affective aspect of computational thinking skills. To predict computational thinking skills, it may be recommended to build multiple models for cognitive and affective skills of gifted and talented students.

This study was designed to investigate the applicability of the IES/NSF pipeline-of-evidence protocol in ascertaining why two notable educational initiatives spearheaded and financially supported by the Bill and Melinda Gates Foundation achieved or not the goal of improved academic outcomes for K-12 public school students. Our interest was not whether there is a sufficient body of high quality research evidence to support the two initiatives but whether the research considered by the Gates Foundation established the likelihood that the initiatives would be successful and worth the decision to dedicate substantial funding, time, and effort required for each versus the many competing programs seeking sponsorship. We found that in the case of Intensive Partnerships for Effective Teaching, efficacy and effectiveness research were absent and the Gates foundation discontinued grant support because the initiative had not achieved the goal of improved high school graduation and college attendance among low-income minority students. In the case of Early College High School, we found empirical evidence was manifest at all but the effectiveness stage of the pipeline and the initiative continued to receive funding. Our findings support the importance of widening the net of methodologies that constitute a framework for elements needed to make predictions of effectiveness for any given intervention before investing in scale-up initiatives and the need for private foundations to be transparent in their decision-making process to enable others to scrutinize the research that informs the design of initiatives.

The teaching and learning of mathematics in South Africa are conducted through the authorised Language of Learning and Teaching (LoLT). South Africa has eleven official languages, and English is a Language of Learning and Teaching (LoLT) from the Intermediate and Further Education and Training (FET) Phase. This study explores teachers' views on code-switching as a communicative technique to enhance teaching mathematics in Grade 4 in selected primary schools in South Africa. This qualitative single case study employed the interpretivist paradigm and social constructivism theory. A convenient purposive sampling technique was used to sample six grade 4 mathematics teachers from three primary schools in the Alexandra township in South Africa. Researchers collected data through the use of semi-structured interviews, which were later analysed and discussed using themes. Findings indicate that teachers often code-switch from LoLT (English First Additional Language) into Home Language (H.L.) to enhance learners' understanding of the mathematics concepts. Researchers suggested the integration of code-switching into the curriculum policy and followed by in-service training for Grade 4 mathematics teachers in code-switching.

The purpose of the study was to identify how the designed instructional model moderated the vocabulary-related anxieties in students when they communicated in the media internationally. The methodological approach used in the study was aimed at controlling and manipulating variables which were as follows: The level of vocabulary anxiety related to communication in the media, cultural intelligence, and English vocabulary level. The study relied on quantitative and qualitative methods to gather the experimental data and answer the research questions. Insufficient vocabulary was found to be one of the key factors of anxieties in students when they communicated in the media internationally. The major sub-factors of the vocabulary-related anxieties in the students when they communicated in the media internationally (as perceived by the respondents) were spontaneous interaction with the native speakers, guessing the meaning of the words from the context, and paraphrasing ideas using synonyms. The instructional-purpose use of the predesigned vocabulary lists, learning them using the Telegram bot, talking to the foreign speakers in the media, self-analysis, and analysis by peers were proven to be capable to moderate the vocabulary-related anxieties in students when they communicate in the media with the foreign speakers.

This research aims to examine the effect of coding education on the analytical thinking skills of gifted students. The participants are 18 students, 11 to 12 years old. An embedded experimental mixed design was used in the research. The data collection was carried out with the Analytical Thinking Skill Scale to determine the difference in the analytical thinking skills of the study group before and after the coding training; the Analytical Thinking Skill Observation Form to determine the analytical thinking skill levels during the implementation process; and the semi-structured interview form to get their opinions on the coding training. The data were analyzed with a pre-test-post-test quasi-experimental design, descriptive analysis, and content analysis. The results show that coding education developed the participants' analytical thinking skills. The difference in the analytical thinking skills of the study group was not statistically significant in terms of gender. According to the students' views on the coding education application process, there was an improvement in the sub-dimensions of sorting, classification, comparison, and evaluation in analytical thinking skills; coding education developed problem-solving and thinking skills, was useful, encouraged students to choose a profession, and was entertaining, as well as negative opinions such as being difficult, boring, and requiring a lack of time.

This study examines how visual thinking may affect Jordanian female ninth-graders reading abilities. The design had an experimental feel about it. The study included 66 ninth-grade female students who were studying English as a foreign language (EFL). An instructional program was created and put into place, and a pre-post reading exam was created to help the study reach its objective. The results were examined using SPSS. The findings show that there are statistically significant changes in the steps of the visual thinking strategy (VTS) modality between the two groups, with the experimental group benefiting more. VTS has been proven to be a successful strategy for greatly enhancing student attainment of good marks and having an impact on student achievement of course learning outcomes. This study triggered the following reading sub-skills: vocabulary acquisition, imaging, building and activating schema, identifying the main idea and details, questioning, inferring, communicating through oral language, and comprehension. VTS has a real impact on teaching reading sub-skills, which is important for both teachers and curriculum designers. Longitudinal research data is required to further analyze and refine this teaching strategy.

This study investigated the influence of CThink4CS² Module on computational thinking (CT) skills of form four chemistry students. The CThink4CS² Module integrated CT with the Engineering Design Process (EDP) in chemistry class. This study utilized quantitative research methods and quasi-experimental design. Quantitative data were collected using the Computational Thinking Skill Test (CTST) which consisted of algorithmic reasoning, abstraction, decomposition, and pattern recognition constructs. A total of 73 students were in the treatment group (n=39) and control group (n=34). Experimental data were described by means of descriptive analysis and inferential analysis employing two-way MANOVA analysis. The results of the analysis indicated significant differences in CT skills between groups; students in the treatment group demonstrated better results compared to those in the control group. The paper provides insight into the integration of CT and EDP as effective pedagogical strategies for inculcating CT skills.

This study illustrated an alternative way to evaluate students’ academic learning. It involved the joint and intertwined application of the natural semantic network technique, computer simulations, and semantic priming experiments to assess the cognitive changes in knowledge structures due to academic learning in two groups of psychology students. The experimental group was enrolled in a course on computational cognition, while the control group was oblivious to this course. The results indicated that the cognitive assessment tools discriminate the cognitive changes produced as a result of general training undertaken in a psychology degree versus the influence of a specific course. After the course, the experimental group increased their technical vocabulary, changed their conceptual valuation of definers related to computational theories of mind, and reorganized the relations among definers according to the computational cognition approach. Also, this group presented a higher connectivity index between the concepts of the semantic network, their conceptual activation level and conceptual co-activation pattern changed, and their access level to the evaluated schema’s concepts improved. In contrast, the control group did not show significant changes in their cognitive patterns after the course. These findings suggest that cognitive tools may be helpful in the diagnosis of academic learning.

The research on the pedagogical knowledge of teachers in technological education arises from the need to address the problem of pedagogical practices, which are traditional. The classes are at the graduate level, focusing on lecturing the student while the student remains with a passive attitude. It is believed that making explicit that teachers' pedagogical knowledge will allow reflection and awareness, thereby transforming pedagogical practices. Therefore, the objective is to understand the teachers’ constructions on pedagogical knowledge in technology programs in Plant Operations and Industrial Instrumentation of the Faculty of Engineering in order to reconstruct it theoretically, as well as identify its characteristics and trace action routes for teacher training. In this way, it allows education to be accessible to low-income and resource-poor populations, whose purpose is to strengthen the productivity and competitiveness of the economy through the training of human talent according to the needs of the working sector in a unique context. This research uses grounded theory as a methodological tool for data processing. In this sense, data collection procedures such as in-depth interviews were conducted with 16 teachers and seven of them were related to the industry. Whereas, 9 were linked to the teaching(educational) sector including elementary, high school and college level. The results showed differentiated, and socially constructed pedagogical knowledge that responds to teachers’ nature in a particular context. These results contribute to consolidate a broad vision about the pedagogical knowledge’s characteristics that the teacher builds.