Investigating the effects of foreign direct investment (FDI) on Croatian business

Technological innovation plays a critical role in economic growth. The most advanced and new technologies are created by leading firms in developed countries. Global expansion, strategic outsourcing or off-shoring in leading companies has been growing to enrich their competitive advantage, while technology transfer of leading firms has been of more interest to emerging or developing countries for catching up and following the trajectory of economic growth proved in developed countries. Among various channels to acquire new technologies from leading firms, foreign direct investments (FDI) is one of the most effective channels through which technology can be transferred to subsidiaries in emerging markets. However, empirical study on the roles of technology transfer and the feedback loop from FDI remains still scarce. Thus, the purpose of this study is to analyze the effects of FDI on businesses in partial or complete foreign ownership, with a special emphasis on technology transfer, and to assess the impact of foreign companies on domestic firm performance through technology transfer from foreign companies. This paper aims at investigating the investment climate for foreign investments and intensifying technology transfers and innovations in the Croatian economy. 145 firms responded to the survey we conducted for foreign investment enterprises in Croatia. Structural equation model is employed to examine the hypotheses with respect to effects of FDI on innovation activities of domestic Croatian firms. This study identified critical factors affecting technology innovation to Croatian firms. The results provide empirical evidence that the innovation activities in subsidiaries have a positive influence toward technology transfer from multinational corporations.     

Rethinking democracy and human rights education on the seventieth anniversary of the Universal Declaration of Human Rights

Asia Pacific Education Review - The paper outlines the usefulness and challenges of teaching the Universal Declaration of Human Rights (UDHR) to the young generation of the twenty-first century....     

Exploring the Impact of Prior Knowledge and Appropriate Feedback on Students' Perceived Cognitive Load and Learning Outcomes: Animation-based earthquakes instruction

The aim of this study was to develop an animation-based curriculum and to evaluate the effectiveness of animation-based instruction; the report involved the assessment of prior knowledge and the appropriate feedback approach, for the purpose of reducing perceived cognitive load and improving learning. The curriculum was comprised of five subunits designed to teach the ‘Principles of Earthquakes.’ Each subunit consisted of three modules: evaluation of prior knowledge with/without in-time feedback; animation-based instruction; and evaluation of learning outcomes with feedback. The 153 participants consisted of 10th grade high-school students. Seventy-eight students participated in the animation-based instruction, involving assessment of prior knowledge and appropriate feedback mechanism (APA group). A total of 75 students participated in animation-based learning that did not take into account their prior knowledge (ANPA group). The effectiveness of the instruction was then evaluated by using a Science Conception Test (SCT), a self-rating cognitive load questionnaire (CLQ), as well as a structured interview. The results indicated that: (1) Students' perceived cognitive load was reduced effectively through improving their prior knowledge by providing appropriate feedback. (2) When students perceived lower levels of cognitive load, they showed better learning outcome. The result of this study revealed that students of the APA group showed better performance than those of the ANPA group in an open-ended question. Furthermore, students' perceived cognitive load was negatively associated with their learning outcomes.     

An NCME Instructional Module on Latent DIF Analysis Using Mixture Item Response Models

The purpose of this ITEMS module is to provide an introduction to differential item functioning (DIF) analysis using mixture item response models. The mixture item response models for DIF analysis involve comparing item profiles across latent groups, instead of manifest groups. First, an overview of DIF analysis based on latent groups, called latent DIF analysis, is provided and its applications in the literature are surveyed. Then, the methodological issues pertaining to latent DIF analysis are described, including mixture item response models, parameter estimation, and latent DIF detection methods. Finally, recommended steps for latent DIF analysis are illustrated using empirical data.     

The impact of structured on-the-job training (S-OJT) on a trainer’s organizational commitment

The purpose of this study was to examine the causal relationships between S-OJT trainer preparation, self-efficacy as a trainer, trainers’ delivery of S-OJT, and organizational commitment as a consequence of employing S-OJT. This study proposed a theoretical model from the review of related literature and then empirically investigated the fitness of the proposed model. This study was conducted in a life insurance company in Korea. A questionnaire was distributed to 334 randomly selected S-OJT trainers in Seoul. There were 235 usable questionnaires. structural equation modeling and principal factor analysis were applied to conduct a data analysis. The results showed that the chi-square was significant, along with good model fit indices. As a result, the causal links in the proposed model were established and these results fully supported the study hypotheses. Finally, the study discussed some implications for HRD, focusing on S-OJT.     

Learning by self-explaining causal diagrams in high-school biology

Understanding scientific phenomena requires comprehension and application of the underlying causal relationships that describe those phenomena (Carey 2002). The current study examined the roles of self-explanation and meta-level feedback for understanding causal relationships described in a causal diagram. In this study, 63 Korean high-school students were randomly assigned to one of three conditions: instructional explanation, self-explanation, and meta-level feedback. Results showed that self-explaining a causal diagram was as effective as studying instructional explanations. Furthermore, the effectiveness of self-explaining a causal diagram was enhanced by meta-level feedback that prompted students to reflect on their own explanations by comparing them with instructional explanations. We identified three main difficulties that high-school students experienced when explaining a causal diagram to themselves: one-sided explanation, erroneous explanation, and the lack of inference. Implications of the study were discussed in regard to the improvement of self-explanation and the design of causal diagrams in science education.     

Review Article: Recent advancements in optofluidic flow cytometer

There is an increasing need to develop optofluidic flow cytometers. Optofluidics, where optics and microfluidics work together to create novel functionalities on a small chip, holds great promise for lab-on-a-chip flow cytometry. The development of a low-cost, compact, handheld flow cytometer and microfluorescence-activated cell sorter system could have a significant impact on the field of point-of-care diagnostics, improving health care in, for example, underserved areas of Africa and Asia, that struggle with epidemics such as HIV∕AIDS. In this paper, we review recent advancements in microfluidics, on-chip optics, novel detection architectures, and integrated sorting mechanisms.     

Examining the development of action learning practice in South Korea

This year marks the 25th anniversary since action learning (AL) was first introduced in 1993 in South Korea. Although AL has greatly contributed to meeting organizational needs so that it would result in its strong presence as an organizational learning tool, there is no single review study on the development of AL practice in Korea. The purpose of this study, therefore, was to examine the development of AL practice in Korea to understand its current state and envision the future. To that end, two research questions guided our inquiry: What are the distinctive features of the development of AL practice in Korea? What is unique about the development of AL practice in Korea? To answer the two research questions, we conducted semi-structured interviews with 13 AL practitioners who have experienced AL practice for many years, analyzed 13 annual AL conference proceedings published since 2005, and reviewed Korean publications on AL published since 2000. Based on the triangulated data analysis, we discuss the uniqueness of the development of AL practice in Korea and implications for research and practice.     

Utilizing online learning data to design face-to-face activities in a flipped classroom: a case study of heterogeneous group formation

This study investigates the possibility of utilizing online learning data to design face-to-face activities in a flipped classroom. We focus on heterogeneous group formation for effective collaborative learning. Fifty-three undergraduate students (18 males, 35 females) participated in this study, and 8 students (3 males, 5 females) among them joined post-study interviews. For this study, a total of 6 student characteristics were used: three demographic characteristics obtained from a simple survey and three academic characteristics captured from online learning data. We define three demographic group heterogeneity variables and three academic group heterogeneity variables, where each variable is calculated using the corresponding student characteristic. In this way, each heterogeneity variables represents a degree of diversity within the group. Then, a two-stage hierarchical regression analysis was conducted to identify the significant group heterogeneity variables that influence face-to-face group achievement. The results show that the academic group heterogeneity variables, which were derived from the online learning data, accounted for a significant proportion of the variance in the group achievement when the demographic group heterogeneity variables were controlled. The interviews also reveal that the academic group heterogeneity indeed affected group interaction and learning outcome. These findings highlight that online learning data can be utilized to obtain relevant information for effective face-to-face activity design in a flipped classroom. Based on the results, we discuss the advantages of this data utilization approach and other implications for face-to-face activity design.