Within the context of investigating belief systems, this work exemplifies a mixed-method approach. Two approaches are utilized to explore the philosophical, ontological, and epistemological assumptions that university students foster regarding the relationships between knowledge and reality. In the first step, written materials that elaborated on the matter at hand were subjected to content analysis with the assistance of Leximancer, a software that recognizes themes and concepts and turns textual data into concept maps that express networks of meaning. The second step involved conducting a cluster analysis on the data obtained from the questionnaire to identify distinct groups of participants who shared consistent epistemological viewpoints. The results obtained from the two approaches are in agreement and shed light on the prevalent epistemic inclination that favors a constructivist viewpoint. Discussion on the ramifications of the findings, as well as the methodological issues that are pertinent to the present illustration, is provided.

Entrepreneurship education in higher education requires strategies that connect theory with practice. Although Project-Based Learning (PBL) is widely used, less is known about the educational value of interactive guides that support students throughout business-plan development. This study examined a Genially-based instructional guide, supplemented with YouTube multimedia, within a PBL intervention in the Business Innovation and Creativity course at Universidad Veracruzana. A quantitatively driven embedded mixed-methods, one-group pre–post design was used with 28 undergraduate students. Data came from course assessment records and pre- and post-intervention questionnaires. Quantitative analysis compared group-level response patterns across 23 conceptually aligned dichotomous items on self-reported entrepreneurship and business-planning knowledge, while open-ended responses explored students’ perceptions of the learning experience. Descriptive statistics and thematic analysis were conducted, and both strands were integrated during interpretation. Post-intervention affirmative-response percentages were higher for several conceptually aligned topics, although the response patterns varied across items and the anonymous responses could not be matched at the individual level. Students also rated the guide as highly useful (M = 9.81/10) and described it as providing organization, clarity, and step-by-step support. These findings suggest that the guide had potential educational value as a pedagogical scaffold in this course. However, because the study used a small, one-group design without linked responses or a comparison group, the results should be interpreted as context-specific descriptive evidence rather than as proof of causal effects on entrepreneurial competencies.

Binary classifications of teaching as transmission or constructivism obscure how participation, authority, knowledge practices, and conceptual work can vary within one lesson. This article introduces the social, procedural, epistemic, and conceptual (SPEC) framework for episode-level lesson analysis. SPEC was developed through a structured purposive theory synthesis rather than an exhaustive systematic review. A documented corpus of foundational traditions, observation systems, and targeted verification sources was compared using explicit inclusion, boundary, and disposition rules. Candidate constructs were assigned by observable target; three indicators per dimension were retained as a parsimonious authorial proposal; and qualitative descriptors were generated from theoretically warranted adjacent distinctions checked against cross-dimensional counterexamples. The dimensions are analytically distinguishable but potentially related. Their descriptor codes form non-additive, non-normative profiles rather than composite scores or judgments of teaching quality. An instructional episode is the primary unit; a hypothetical transcript illustrates indicator coding, opportunity/evidence flags, and rejection of nearby alternatives. SPEC is an initial conceptual proposal requiring operationalization, reliability examination, and validity testing. Ordering, thresholds, and cross-domain use require study before evaluative application.