Search results

Engaging students emotionally is the key to strengthening their dispositions toward critical thinking. Elder (1997) contends that it is critical thinking which leads us to a rational and reasonable emotional life. The link between thinking and emotions is essential in leadership education. With this in mind, the researchers sought to examine the relationship between the skill sets of emotional intelligence (Developing Your Emotional Intelligence) and the dispositions of critical thinking (EMI). The researchers identified positive relationships ranging in magnitude from low to substantial. The overall skills associated with emotional intelligence showed positive moderate relationships with cognitive maturity, engagement, and innovativeness. In considering EMI critical thinking disposition scores and emotional intelligence, the relationship was substantially positive. The conclusions and recommendations encourage educators to take advantage of this relationship by providing students with experiences which elicit their emotional intelligence. In so doing there is opportunity to strengthen their disposition toward critical thinking.

The purpose of this paper is to provide a theoretical framework for conceptualizing critical and creative thinking within doctoral study and to illuminate the connecting and diverging points between the two phenomena in a way that clarifies their developmental relationships.

The conceptual framework is founded in a synthesized understanding of both new and established theories on critical and creative thinking, and worked out through a reconstruction and expanded re‐conceptualization of the Four C Model of Creativity.

The results show that responsible scholars are moved by both critical and creative thinking, which is conceptualized as critical creativity. The authors introduce the ECC‐model which illustrates how different Expressions of Critical Creativity (CC) is manifested in scholarship: Experiential CC (in cognition), Experimental CC (in action), Enunciated CC (in speech), and Eulogized CC (in recognition). Whereas Experiential, Experimental and Enunciated CC constitute important fields of developmental practice in doctoral education, Eulogized CC is a possible outcome of the completed doctorate. It appears that Enunciated CC especially seems to be a field of urgent need for further development.

The paper offers a conceptual framework for new ways of understanding critical creativity in doctoral education by outlining how critical creativity is manifested in an educational context. Thereby the authors provide a valuable tool for supporting doctoral students in becoming professional scholars through a pedagogy that is reflective, integrative and deliberate.

Researchers have previously utilized the project-based 6E learning model and the problem-based quantum learning model in various courses, such as the instructional principles and methods course and the character and values education course. These models were evaluated for their impact on students in different subjects, including developing skills, values, democracy perceptions, attitudes towards cooperative learning, metacognitive thinking skills and teacher self-efficacy perceptions. In 2023, Ökmen, Sahin and Kiliç reported positive outcomes, while Sahin and Kiliç reported similar findings in 2023a, 2023b and 2023c. There has been no investigation into how the models affect students' critical thinking and academic literacy. This study seeks to determine the impact of both models on these skills, gain more insight into their effectiveness and determine which is more beneficial. The results will guide the decision-making process for the character and values education course and other courses in the future. Specifically, this research aims to compare the effects of the project-based 6E learning model and problem-based quantum learning model on critical thinking and academic literacy.

This research employed the Solomon four-group experimental design to assess the efficacy of the applications. Prior knowledge and experience of the participants were evaluated through pretests. However, it should be noted that pretests may impact posttest scores either positively or negatively. For instance, participants taking the test multiple times may become more interested or attentive to the subject matter. The Solomon four-group design was deemed appropriate to analyze the influence of pretesting. This design enables the investigation of the application effect, pretest effect and interactive effect of pretest and application (van Engelenburg, 1999).

It was concluded that the project-based 6E learning model was effective in developing critical thinking in students, but not significantly. It was concluded that the problem-based quantum learning model significantly improved students' critical thinking skills. It was concluded at the end of the study that the project-based 6E learning model notably enhanced students' academic literacy. It was concluded that the problem-based quantum learning model had a significant positive impact on students' academic literacy. According to research, it has been determined that the problem-based quantum learning model is superior in enhancing critical thinking abilities compared to the project-based 6E learning model. Nevertheless, there seems to be no detectable disparity in the academic literacy advancement of pupils between the problem-based quantum learning model and the project-based 6E learning model.

There has been no investigation into how the models affect students' critical thinking and academic literacy. This study seeks to determine the impact of both models on these skills, gain more insight into their effectiveness and determine which is more beneficial. The results will guide the decision-making process for the character and values education course and other courses in the future.

Critical thinking is a challenging term to describe but considered necessary for academic achievement, success in the global job market, and essential in developing a life-long learner (Dwyer, Hogan, & Stewart, 2012). Many definitions exist, but some of the components include the ability to analyse, reflect, judge, and strategise in a systematic way, to be able to solve problems (Dwyer et al., 2012). Some of the definitions, taxonomies, models, and theories of critical thinking have been built by Western culture, and the United States contributes information towards this Western approach (Nicholas & Raider-Roth, 2016; Wang, 2017). These definitions, taxonomies, models, and theories make a significant contribution to the pedagogical approaches to the teaching of critical thinking in the United States. This chapter details the structures that support the definitions of critical thinking and the history of the connections between critical thinking and classroom instruction in the United States.

Critical thinking is a necessary construct for twenty-first century learning and discussed in scholarly professional literature and popular media (Dwyer, 2017). The term is a part of the twenty-first century four Cs of learning: collaboration, communication, creativity, and critical thinking (Cunningham, 2018). The teaching of critical thinking can be challenging, and this chapter presents an overview of some helpful pedagogical approaches, including project-based learning, project-based design, e-learning, and active learning and descriptions of instructional pedagogy including the general, infusion, immersion, and mixed approaches (Abrami et al., 2008; Dwyer, 2017; Ennis, 1989; Marin & Halpern, 2011; Willingham, 2008). Quality assurance is an essential component in ensuring pedagogical approaches to critical thinking are effective. The contribution of core standards in the teaching of critical thinking in the United States will be discussed.

Being the most powerful creatures on the planet, we humans should carefully consider our beliefs for the simple reason that the way in which we think influences our behaviors; this in turn can either transform the world or negatively affect the world. Our mores, paradigms, and worldviews translate into behaviors (e.g., factory farming for meat production and consumption) that in turn modify the environment. In general, much of our thinking system is backed up by some concept, theory, paradigm, or ideology. Our thinking systems generate our belief systems of goals and mission statements; our belief systems, in turn, determine our behavior systems (e.g., our strategies, choices, commissions, omissions as implementation systems); our behavior systems determine our impact systems (e.g., impact on us, our families and neighborhoods, our cities and villages, our state and our country, our globe and sometimes our cosmos). Thus, our behavior systems eventually impact our thinking systems, which we started with, thus completing a circular or spiral loop. This chapter examines the thinking–beliefs–behaviors–impact loop, exploring its internal and external dynamics and validities. Specifically, in Part I, we examine the structure of our belief systems in business; in Part II, we explore the power of our structured belief systems in business; in Part III, we apply critical thinking that systematically questions and seeks to redesign our presumed thinking and belief systems.

The purpose of this study is to introduce a virtual collaborative learning setting called “Net Economy”, which we established as part of an international learning network of currently six universities, and present our approach to continuously improve the course in each cycle.

Using the community of inquiry framework as guidance and canonical action research (CAR) as the chosen research design, the discussion forum of the online course is assessed regarding its critical thinking value. We thereby measure critical thinking with the help of the according model provided by Newman et al. (1995), which differentiates 40 indicators of critical thinking from 10 different categories.

The calculated critical thinking ratios for the analyzed two discussion threads indicate a strong use of outside knowledge, intensive justification and critical assessment of posts by the students. But at the same time, there are also weak spots, like manifold repetitions. Based on these results, we derive changes for the next course cycle to improve the critical thinking of the students.

A comparison of the results after the next course cycle will then allow us to assess the effects of the implemented changes, which would not be possible without a critical thinking diagnosis approach.

Critical thinking is considered important in psychological science because it enables students to make effective decisions and optimizes their performance. Aiming at the challenges and issues of understanding the student's critical thinking, the objective of this study is to analyze online discussion data through an advanced multi-feature fusion modeling (MFFM) approach for automatically and accurately understanding the student's critical thinking levels.

An advanced MFFM approach is proposed in this study. Specifically, with considering the time-series characteristic and the high correlations between adjacent words in discussion contents, the long short-term memory–convolutional neural network (LSTM-CNN) architecture is proposed to extract deep semantic features, and then these semantic features are combined with linguistic and psychological knowledge generated by the LIWC2015 tool as the inputs of full-connected layers to automatically and accurately predict students' critical thinking levels that are hidden in online discussion data.

A series of experiments with 94 students' 7,691 posts were conducted to verify the effectiveness of the proposed approach. The experimental results show that the proposed MFFM approach that combines two types of textual features outperforms baseline methods, and the semantic-based padding can further improve the prediction performance of MFFM. It can achieve 0.8205 overall accuracy and 0.6172 F1 score for the “high” category on the validation dataset. Furthermore, it is found that the semantic features extracted by LSTM-CNN are more powerful for identifying self-introduction or off-topic discussions, while the linguistic, as well as psychological features, can better distinguish the discussion posts with the highest critical thinking level.

With the support of the proposed MFFM approach, online teachers can conveniently and effectively understand the interaction quality of online discussions, which can support instructional decision-making to better promote the student's knowledge construction process and improve learning performance.

Systems thinking calls for a shift of our mindset from seeing just parts to seeing the whole reality in its structured dynamic unity and interconnectedness. Systems thinking fosters a sensibility to see subtle connections between components and parts of reality, especially the free enterprise capitalist system (FECS). It enables us to see ourselves as active participants or partners of FECS and not mere induced factors of its production–distribution–consumption processes. Systems thinking seeks to identify the economic “structures” that underlie complex situations in FECS that bring about high versus low leveraged changes. A system is strengthened and reinforced by feedback of reciprocal exchanges that makes the system alive, transparent, human, and humanizing.

In Part I, we explore basic laws or patterns of behaviors as understood by systems thinking; in Part II we examine the basic archetypes or structured behaviors of systems thinking; in both parts we strive to see reality through the lens of critical thinking to help us understand patterns and structures of behavior among systems and their component parts. In conclusion, we argue for compatibility and complementarity of critical thinking and systems thinking to identify and resolve management problems created by our flawed thinking, and sedimented by our wanton assumptions, presumptions, suppositions and presuppositions, biases, and prejudices. Such thinking will also identify unnecessary economic and political structures of the self-serving policies we create, which imprison us.