ANGEL |
Impact Investing Education
From Sustainability Knowledge to Responsible Investment Decisions
How can sustainability knowledge become evidence-based, accountable impact-investing practice? The ANGEL approach structures this transition through five linked stages—Awareness, Navigation, Generation, Evaluation, and Legacy—and connects classroom learning with authentic professional tasks and multiple sources of learning evidence.
ANGEL × TBL × SIC Professional Service Learning
A graduate impact-investing course integrating team-based learning (TBL) and an 18-hour Sustainable Impact Capital (SIC) professional service-learning experience.
Bridging the Gap Between Sustainability Knowledge and Investment Decisions
Knowing sustainability is not the same as making a responsible investment decision. Students may recognize ESG principles while still finding it difficult to translate those principles into a defensible investment thesis, measurable outcomes, and governance safeguards.
Concept Gap
Defining meaningful social and environmental impact requires more than familiarity with sustainability terminology.
Decision Gap
Real investment judgments connect due diligence, financial considerations, term-sheet design, impact indicators, and accountability.
Evidence Gap
Attendance and engaging activities alone cannot establish learning effectiveness; different forms of evidence need to be examined together.
Guiding question: How can students move from knowing sustainability to analyzing evidence, producing professional work, evaluating consequences, and taking responsibility?
A Five-Stage Learning Pathway
ANGEL is a structured teaching pathway, not a claim that five dimensions constitute a fully validated psychological scale. Each stage links a learning intention with observable coursework and reflection.
Awareness
Recognize the issue
Identify the dual financial and impact objectives of impact investing and define sustainability problems.
Navigation
Choose a framework
Use due diligence (DD), term sheets, IRIS+, and impact measurement and management (IMM) to guide analysis.
Generation
Produce professional outputs
Prepare investment analyses, propose terms, and develop impact-management deliverables.
Evaluation
Test and refine judgments
Examine evidence quality, risks, negative externalities, and possible revisions.
Legacy
Internalize responsibility
Connect professional decisions with investment ethics, accountability, and future practice.
ANGEL turns sustainability knowledge into a teachable, learnable, and assessable pathway toward responsible professional judgment.
From Classroom Learning to Professional Practice
The course combines structured disciplinary learning with sequential team-based assignments and a real-world service-learning setting. The emphasis is not the number of activities, but the continuity of the decision problems students address.
ANGEL
Five-stage learning pathway.
TBL
Sequential professional investment tasks.
SIC
18-hour professional service-learning experience.
Three stages of learning
STAGE 1 · FOUNDATION
Sustainable finance; impact assessment and cases. Primary ANGEL emphasis: Awareness + Navigation.
STAGE 2 · APPLICATION
AI-supported impact-investing simulation; angel investing and impact evaluation. Primary ANGEL emphasis: Navigation + Generation + Evaluation.
STAGE 3 · REFLECTION & TRANSFER
Impact-investment fund design and service-learning reflection. Primary ANGEL emphasis: Evaluation + Legacy.
A continuous professional decision chain
The role of SIC
An 18-hour Sustainable Impact Capital (SIC) professional service-learning experience brought authentic investment cases, practitioner input, team outputs, and individual reflection into the course. SIC is a real-world learning mechanism crossing ANGEL stages—not a sixth ANGEL stage. Participation itself was not treated as evidence of achievement.
SIC is a real-world learning mechanism, not a sixth ANGEL stage.
A Multi-Source Approach to Learning Evidence
The teaching practice study examined a graduate impact-investing course using 13 valid student records for the main study sample. Because learning leaves different traces, the analysis distinguished individual-level, team-level, and class-level information.
- Formative assessments
- Anonymous pre/post class trends
- Post-course ANGEL/SIC self-assessment
- TBL team outputs
- Individual service-learning journals
- Joint Display integration
Research methods
Quantitative methods Fixed-effects regression, Spearman rank correlations, and student-clustered bootstrap 95% confidence intervals where applicable.
Qualitative and integrative methods Criterion-referenced review of team outputs, ANGEL-based journal content analysis, and a Joint Display comparing the convergence and limitations of different evidence sources.
Read the evidence carefully
This was a small course-based study without a control group. The anonymous pre/post surveys were not matched at the individual level (pre: n = 15; post: n = 13). Team outputs describe team performance, not each member’s competence. Some qualitative judgments were made by a single rater. The findings therefore support a cautious, triangulated interpretation—not a strong causal claim that ANGEL produced measured individual gains.
Four Evidence Highlights
Post-course ANGEL Self-assessment
Students rated their post-course learning experience positively across the five ANGEL dimensions and SIC (n = 13; five-point scale). These are self-assessed learning states, not directly observed individual gains.
Development Focus: Evaluation = 4.59 / 5
Agreement across the six dimensions ranged from 92.3% to 100%, with many ratings concentrated at the upper end of the scale. This concentration warrants attention to ceiling effects.
Post-course self-assessment, not objective learning gains.
Professional Team Performance
Three TBL teams completed the full professional task sequence: due diligence, term-sheet design, post-investment impact evaluation, and final investment recommendation. Every team scored at least 85/100 on each core task.
Due Diligence → Term Sheet → Impact Evaluation → Final Investment Recommendation
Across outputs, stronger evidence appeared in risk identification, data analysis, impact measurement, and investment recommendations. Cross-task integration—particularly the links among financial conditions, impact covenants, impact KPIs, and post-investment governance—remains an instructional priority.
Evidence level: TEAM. The quality of team submissions cannot, on its own, establish the capabilities of individual students.
Individual Reflection Evidence
Content analysis of 13 individual journals provided a second perspective on ANGEL-related learning evidence (0–3 rubric scale).
Reflection Depth
Mean reflection depth was 4.85/5. The relatively lower Generation score indicated that individual contribution, collaboration, and revision processes were not always sufficiently visible in journal entries. Strong team products should therefore be interpreted alongside individual evidence.
Individual service-learning journal content analysis.
Integrated Evidence Strength
The Joint Display synthesized the first five research questions rather than introducing new tests. Its evidence-strength judgments were:
Professional knowledge; investment analysis; teamwork; responsible investment attitudes
Self-directed learning
Critical reflection
No single questionnaire, test, team score, or journal entry determined the overall conclusion. The judgment rested on converging patterns, while preserving disagreement, data gaps, and level-of-analysis limits.
Evidence strength was determined through multi-source Joint Display integration. These support tiers do not indicate statistical significance.
Research Contributions
TEACHING MODEL
A structured and assessable five-stage learning pathway.
ANGEL offers a practical structure for connecting sustainability concepts with the successive actions of understanding, navigating, generating, evaluating, and taking responsibility.
PROFESSIONAL PRACTICE
A continuous investment decision chain integrating analysis, governance, impact measurement and responsible decisions.
Sequential due diligence, term-sheet, impact-evaluation, and investment-decision tasks made governance and impact considerations part of professional judgment rather than optional add-ons.
EVIDENCE-BASED EDUCATION
A multi-source evaluation framework connecting individual, team and course-level learning evidence.
Combining assessment data, class-level trends, self-assessment, team artifacts, and individual reflections yields a more transparent picture of learning than any single measure alone.
FROM KNOWING TO RESPONSIBLE DECISION-MAKING
Future refinement
Next iterations should strengthen scenario-based evaluation and revision tasks, introduce coded individually matchable assessments where ethically appropriate, document each learner’s contribution and response to feedback, and improve rating reliability. These enhancements would especially address evidence gaps in self-directed learning and critical reflection.
Potential transfer: sustainable finance, corporate governance, social innovation, and other professional education contexts in which analytical tools must be joined with evidence and responsibility.
About the Researcher
Jyh-Jiuan Lin
Distinguished Professor
Department of Statistics and Data Science
Tamkang University, Taiwan
Data × Governance × Sustainability × Impact
Jyh-Jiuan Lin works at the intersection of data, governance, sustainability, and impact, with interests spanning evidence-based education, institutional research, impact measurement, and responsible decision-making. ANGEL brings these themes together in a graduate-level impact-investing learning design.
Research team
Jyh-Jiuan Lin¹*, Ching-Hui Chang², Li-Hui Peng³
¹ Department of Statistics and Data Science, Tamkang University, New Taipei City, Taiwan
² Department of Accounting, Ming Chuan University, Taipei City, Taiwan
³ Department of Education and Futures Design, Tamkang University, New Taipei City, Taiwan
Acknowledgment
This study was conducted as part of a Teaching Practice Research Project supported by the Ministry of Education, Taiwan.