Table 1
ULiège SI-PASS Multi-Year and Multi-Faculty Data According to Existing (Bold) and New Metrics.
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| FACULTY | ACADEMIC YEAR AND SEMESTER | POTENTIAL PARTICIPANTS | ACTUAL UNIQUE PARTICIPANTS | % PARTICIPATION | N PARTICIPATION | AVERAGE MEETINGS PER UNIQUE PARTICIPANT | N QUESTIONNAIRES (P/NP) | N LEADERS | DILIGENT LEADERS | N THEORETICAL MEETINGS/THEORETICAL CONTACT HOURS | N ACTUAL MEETINGS/ESTIMATED CONTACT HOURS | N THEORETICAL PARTICIPATIONS | % ACTUAL MEETINGS ATTENDANCE | AVERAGE NUMBER OF STUDENTS PER MEETING | COSTS IN EUROS (€) |
| Applied Sciences | 19–20 S2 20–21 S1 20–21 S2 21–22 S1 21–22 S2 | 288 315 358 222 368 | 108 215 164 208 65 | 37.5 68.3 45.8 93.7 17.7 | 487 1,146 825 1,130 489 | 4.5 5.3 5.0 5.4 7.5 | 117 (95/22) 63 (57/6) 90 (74/16) 127 (111/16) 66 (66/0) | 16 15 10 13 17 | 10 12 8 13 6 | 208 195 130 169 221 | 100 144 99 155 70 | 3,744 4,095 4,654 2,886 4,784 | 13 28 17.7 39.2 10.2 | 2.3 5.9 6.3 6.7 2.2 | 5,600 5,250 3,500 4,550 5,950 |
| Bioengineering | 19–20 S1 20–21 S1 20–21 S2 21–22 S1 21–22 S2 | 276 238 260 208 218 | 113 140 90 92 89 | 40.9 58.8 34.6 44.2 40.8 | 515 655 327 480 311 | 4.6 4.7 3.6 5.2 3.5 | 15 (15/0) 30 (24/6) 55 (36/19) 46 (37/9) 22 (22/0) | 16 19 13 15 10 | 16 19 13 15 10 | 208 247 169 195 130 | 161 212 142 160 119 | 3,588 3,094 3,380 2,704 2,834 | 14.4 21.2 9.7 17.8 11 | 2.5 2.7 1.9 2.5 2.4 | 5,600 6,650 4,550 5,250 3,500 |
| Psychology | 20–21 S2 21–22 S1 21–22 S2 | 293 303 64 | 247 253 28 | 84.3 83.5 43.8 | 1,777 1,292 246 | 7.2 5.1 8.8 | 161 (129/32) 141 (100/41) 45 (45/0) | 36 33 6 | 35 27 6 | 468 364 78 | 377 293 72 | 3,809 3,939 832 | 46.7 32.8 29.6 | 3.8 3.5 3.2 | 12,600 11,550 2,100 |
| Sciences | 20–21 S1 21–22 S1 21–22 S2 | 45 68 171 | 15 35 64 | 33.3 51.5 37.4 | 102 170 408 | 6.8 4.9 6.4 | 16 (14/2) 20 (18/2) 31 (31/0) | 3 3 9 | 3 3 9 | 39 39 117 | 39 39 106 | 585 884 2,223 | 17.4 19.2 18.4 | 2.6 4.4 3.5 | 1,050 1,050 3,150 |
| Total | 3,695 | 1,926 | 52 | 10,360 | 5.5 | 1,045 (874/171) | 229 | 205 | 2,977 | 2,218 | 48,035 | 21.6 | 3.5 | 81,900 |
[i] Note. S1 and S2 stand for Semester 1 and Semester 2. For detailed column explanations, please refer to Appendix 2.
Table 2
Frequency of Motivational Themes Mentioned by SI-PASS Students Across Faculties.
| THEMES | APPLIED SCIENCES | BIO-ENGINEERING | PSYCHOLOGY | SCIENCES | TOTAL | X2 | p |
|---|---|---|---|---|---|---|---|
| 1. Learn, understand, ask questions | 359* | 186* | 220* | 82* | 847 | 11.01 | .012 |
| 2. Socializing | 73* | 21* | 91* | 4* | 189 | 34.40 | < .001 |
| 3. Ambiance | 27 | 19 | 27 | 11 | 84 | 3.88 | .275 |
| 4. Elder leaders | 27* | 17* | 20* | 13* | 77* | 7.91 | .048 |
| 5. Keeping pace | 22 | 16 | 26 | 0 | 64 | . | . |
| 6. Other approach | 34 | 12 | 9 | 4 | 59 | . | . |
| 7. Emotional support | 5 | 5 | 22 | 1 | 33 | . | . |
| 8. Curiosity | 6 | 4 | 7 | 0 | 17 | . | . |
| Total | 553 | 280 | 422 | 115 | 1,370 |
[i] Note. Statistically significant differences (p < 0.05) in response frequencies for each theme between faculties using a chi-square test are marked by (*). Not all chi-square analyses were conducted because several cells in the table contain frequencies below 5, violating the assumptions required for χ2 testing (Cochran, 1954).
Table 3
Frequency of Motivational Themes Mentioned by SI-PASS Students From Each Faculty Depending on the Number of Meetings They Reported Participating In.
| APPLIED SCIENCES | BIOENGINEERING | PSYCHOLOGY | SCIENCES | TOTAL | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Number of meetings | 1–5 | 6–10 | > 10 | 1–5 | 6–10 | > 10 | 1–5 | 6–10 | > 10 | 1–5 | 6–10 | > 10 | 1–5 | 6–10 | > 10 |
| Total N respondents | 66 | 20 | 132 | 41 | 28 | 26 | 10 | 62 | 103 | 10 | 5 | 24 | 127 | 115 | 285 |
| 1. Learn, understand, ask questions | 105 | 23 | 231 | 104 | 44 | 38 | 14 | 91 | 115 | 14 | 7 | 61 | 237 | 165 | 445 |
| 2. Socializing | 18 | 3 | 52 | 11 | 5 | 5 | 2 | 35 | 54 | 1 | 1 | 2 | 32 | 44 | 113 |
| Total | 123 | 26 | 283 | 115 | 49 | 43 | 16 | 126 | 169 | 15 | 8 | 63 | 269 | 209 | 558 |
[i] Note. Chi-square analyses were not conducted because several cells in the table contain frequencies below 5, violating the assumptions required for χ2 testing (Cochran, 1954).
Table 4
Frequency of Reasons for Non-Participation Mentioned by SI-PASS Students From Each Faculty.
| APPLIED SCIENCES | BIOENGINEERING | PSYCHOLOGY | SCIENCES | TOTAL | |
|---|---|---|---|---|---|
| 1. Lack of time | 23 | 15 | 13 | 4 | 55 |
| 2. Useless | 12 | 14 | 11 | 3 | 40 |
| 3. Didn’t know | 4 | 1 | 22 | 1 | 28 |
| 4. No interest | 2 | 6 | 1 | 0 | 9 |
| 5. Already tried | 3 | 2 | 0 | 0 | 5 |
| 6. Absent leader | 0 | 1 | 3 | 0 | 4 |
| 7. Stress or timidity | 3 | 0 | 0 | 0 | 3 |
| Total | 47 | 39 | 50 | 8 | 144 |
[i] Note. Chi-square analyses were not conducted because several cells in the table contain frequencies below 5, violating the assumptions required for χ2 testing (Cochran, 1954).
Table 5
Suggestions for More Participation Mentioned by SI-PASS Students From Each Faculty.
| APPLIED SCIENCES | BIOENGINEERING | PSYCHOLOGY | SCIENCES | TOTAL | |
|---|---|---|---|---|---|
| 1. Better schedule | 30 | 24 | 25 | 7 | 86 |
| 2. Better organization | 36 | 19 | 15 | 1 | 71 |
| 3. No Visio conference | 9 | 6 | 10 | 2 | 27 |
| 4. More participants | 9 | 2 | 2 | 2 | 15 |
| 5. More meetings | 0 | 2 | 1 | 0 | 3 |
| 6. More information | 2 | 0 | 1 | 0 | 3 |
| Total | 86 | 53 | 54 | 12 | 205 |
[i] Note. Chi-square analyses were not conducted because several cells in the table contain frequencies below 5, violating the assumptions required for χ2 testing (Cochran, 1954).
Table 6
Frequency of Students’ Perception of the Significant Contribution SI-PASS Will Have in Helping Them Pass the Exam From Each Faculty Depending on the Number of Meetings They Reported Participating In.
| APPLIED SCIENCES | BIOENGINEERING | PSYCHOLOGY | SCIENCES | TOTAL | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Number of meetings | 1–5 | 6–10 | > 10 | 1–5 | 6–10 | > 10 | 1–5 | 6–10 | > 10 | 1–5 | 6–10 | > 10 | 1–5 | 6–10 | > 10 |
| Total % respondents | 18 | 62 | 74 | 38 | 61 | 85 | 52 | 71 | 91 | 25 | 57 | 76 | 27 | 66 | 81 |
| Strongly agree | 1 | 9 | 27 | 0 | 5 | 9 | 1 | 25 | 57 | 0 | 1 | 13 | 2 | 40 | 106 |
| Agree | 12 | 30 | 67 | 8 | 11 | 14 | 9 | 21 | 35 | 3 | 3 | 7 | 32 | 65 | 123 |
| Neither disagree nor agree | 32 | 16 | 19 | 10 | 7 | 4 | 4 | 10 | 8 | 4 | 2 | 5 | 50 | 35 | 36 |
| Disagree | 9 | 5 | 10 | 0 | 2 | 0 | 1 | 3 | 1 | 3 | 1 | 1 | 13 | 11 | 12 |
| Strongly disagree | 16 | 2 | 3 | 3 | 1 | 0 | 4 | 5 | 0 | 2 | 0 | 0 | 25 | 8 | 3 |
| Total | 70 | 62 | 126 | 21 | 26 | 27 | 19 | 64 | 101 | 12 | 7 | 26 | 122 | 159 | 280 |
[i] Note. Chi-square analyses were not conducted because several cells in the table contain frequencies below 5, violating the assumptions required for χ2 testing (Cochran, 1954).
Table 7
Number of Students, Mean Grades, Standard Deviation, t-Tests on Academic Performance for SI-PASS Students, and Size Effects (Lockdown Semesters are in Bold).
| FACULTY, ACADEMIC YEAR, AND SEMESTER | SI-PASS | NON-SI-PASS | t | p | COHEN’S d | ||||
|---|---|---|---|---|---|---|---|---|---|
| n | M | SD | n | M | SD | ||||
| Applied Sciences 19–20 S2 | 108 | 8.97 | .45 | 176 | 8.27 | .35 | 1.23 | .22 | .15 |
| Applied Sciences 20–21 S1 | 190 | 7.13 | .32 | 103 | 6.82 | .42 | 0.58 | .56 | .07 |
| Applied Sciences 20–21 S2 | 164 | 9.22 | .47 | 122 | 7.10 | .53 | 3.00 | .003* | .36 |
| Applied Sciences 21–22 S1 | 194 | 7.91 | .34 | 101 | 6.07 | .40 | 3.30 | < .001** | .41 |
| Applied Sciences 21–22 S2 | 63 | 11.86 | .64 | 301 | 8.54 | .32 | 4.35 | < .001** | .60 |
| Bioengineering 19–20 S1 | 108 | 8.64 | .37 | 145 | 6.61 | .32 | 4.14 | < .001** | .53 |
| Bioengineering 20–21 S1 | 127 | 9.77 | .41 | 104 | 7.07 | .42 | 4.60 | < .001** | .61 |
| Bioengineering 20–21 S2 | 75 | 9.83 | .36 | 117 | 9.38 | .28 | 0.98 | .33 | .15 |
| Bioengineering 21–22 S1 | 88 | 8.52 | .45 | 99 | 5.38 | .45 | 4.93 | < .001** | .72 |
| Bioengineering 21–22 S2 | 82 | 6.49 | .51 | 133 | 3.51 | .31 | 5.28 | < .001** | .74 |
| Psychology 20–21 S2 | 175 | 11.90 | .23 | 450 | 9.63 | .19 | 6.65 | < .001** | .59 |
| Psychology 21–22 S1 | 220 | 7.86 | .42 | 640 | 4.59 | .21 | 7.68 | < .001** | .60 |
| Psychology 21–22 S2 | 24 | 6.17 | .61 | 674 | 5.95 | .14 | 0.30 | .76 | .06 |
| Sciences 20–21 S1 | 13 | 7.15 | .95 | 29 | 4.48 | .82 | 1.5 | .14 | .50 |
| Sciences 21–22 S1 | 30 | 6.10 | .78 | 28 | 4.68 | 1.02 | 1.11 | .27 | .29 |
| Sciences 21–22 S2 | 63 | 5.40 | .68 | 93 | 3.42 | .53 | 2.31 | .022* | .38 |
[i] Note. S1 and S2 stand for Semester 1 and Semester 2. Statistical significance is indicated by p < .05 (*), and by p < .001 (**).
Table 8
Significant Threshold (Number of Meetings Required Calculated with Tukey Tests for SI-PASS Students).
| FACULTY, ACADEMIC YEAR, AND SEMESTER | NO. MEETINGS | ESTIMATE | STD | t | p |
|---|---|---|---|---|---|
| Applied Sciences 19–20 S2* | . | . | . | . | . |
| Applied Sciences 20–21 S1* | . | . | . | . | . |
| Applied Sciences 20–21 S2 | 7 | 5.51 | 2.24 | 2.46 | .015 |
| Applied Sciences 21–22 S1 | 6 | 2.92 | 1.19 | 2.46 | .015 |
| Applied Sciences 21–22 S2 | 8 | 4.59 | 2.28 | 2.02 | .045 |
| Bioengineering 19–20 S1 | 5 | 3.13 | 1.25 | 2.50 | .013 |
| Bioengineering 20–21 S1 | 5 | 3.34 | 1.06 | 3.17 | .002 |
| Bioengineering 20–21 S2* | . | . | . | . | . |
| Bioengineering 21–22 S1 | 5 | 4.27 | 2.07 | 2.06 | .042 |
| Bioengineering 21–22 S2 | 5 | 4.99 | 1.26 | 3.96 | < .001** |
| Psychology 20–21 S2 | 8 | 3.04 | 1.22 | 2.85 | .044 |
| Psychology 21–22 S1 | 8 | 5.13 | 2.41 | 2.12 | .034 |
| Psychology 21–22 S2* | . | . | . | . | . |
| Sciences 20–21 S1* | . | . | . | . | . |
| Sciences 21–22 S1* | . | . | . | . | . |
| Sciences 21–22 S2 | 8 | 8.70 | 1.90 | 4.58 | < .001** |
[i] Note. S1 and S2 stand for Semester 1 and Semester 2. The iterations marked by an (*) produced no significant t-test result in Table 7 and were therefore excluded from the subsequent Tukey HSD test. Statistical significance is indicated by p < .05 (*), and by p < .001 (**).
| ESSENTIAL ELEMENTS FOR CERTIFIED SI-PASS PROGRAMS | ULIège IMPLEMENTATION | ||
|---|---|---|---|
SI-PASS programs are… | |||
| 1. | managed by a certified SI-PASS Supervisor who has undertaken training with a Certified Trainer based at a National or Regional Centre (e.g., European Centre at Lund University). | 1. | In Liège, two certified supervisors monitor all aspects of the program. |
| 2. | student-driven with participants determining the content of SI-PASS sessions facilitated by SI-PASS leaders. | 2. | Leaders’ training puts strong emphasis on this aspect. Field observations confirm its good implementation. |
| 3. | monitored and evaluated through attendance data, student feedback, and students’ final marks. Outcomes are reported to stakeholders where appropriate. | 3. | This very article demonstrates compliance to this criterion. |
| SI-PASS sessions are… | |||
| 4. | small supplementary study groups in which there are no more than 20 participants, with groups of 8–12 being best practice. | 4. | Initial groups do not exceed 15 participants. Natural attrition reduces this number. |
| 5. | voluntary and are open to all students enrolled in the unit, subject, or course. | 5. | All students enrolled in the targeted course are invited to participate. |
| 6. | not linked to the awarding of marks for the unit, subject, or course. | 6. | Instructors of the targeted courses do not know who takes part. |
| 7. | facilitated by a student who is at least one year beyond the level of the target unit in their own studies and has successfully completed the unit they are supporting. | 7. | Leaders are second- or third-year students selected because they are: a) willing to help peers, b) successful in the targeted course, and c) globally successful in their studies. |
| 8. | designed to supplement existing learning opportunities open to all students, such as lectures, tutorials, practicals, etc. | 8. | Leaders are trained and supported in the management of sessions that materialize the unique tenets of SI-PASS. The seminal exhortation of “not to teach” is the repeated motto of the program, so that it keeps its special space in the array of help for academic success. Leaders must also keep in mind the distinctive boundaries of their role, which does not equate with being a faculty or a teaching assistant. |
| 9. | aligned with unit, subject, or course content. SI-PASS leaders plan regular sessions and related activities based on the previous week’s lecture(s) or core content. | 9. | Each session takes place within the week following each course and is dedicated to the content covered in this course. |
| 10. | meant to integrate both course content and related study skills. | 10. | Leaders are trained to welcome both content- and method-related issues. |
| 11. | active, positive, collaborative peer learning environments. | 11. | These SI-PASS key features are strongly highlighted during the initial leaders’ training and are recalled as often as possible. |
| 12. | not directly connected with assessable tasks (i.e., anything that has marks attached, such as homework or assignments). | 12. | The targeted courses do not organize marked tasks before the exam. |
| 13. | monitored through taking attendance and having an SI-PASS representative regularly observe leaders and provide them with guidance and feedback for ongoing improvement. | 13. | Two or three voluntary debriefings as well as one compulsory field observation per leader usually takes place during the semester. Leaders experiencing difficulties must report to the supervisors. All leaders fill in an online attendance registry after every meeting. |
| 14. | attached to classes or disciplines, never to students, and are non-remedial in their approach. | 14. | The program targets “high risk courses and not high-risk students.” The targeted courses are selected by faculties among those recording high exam fail rates (e.g., at the psychostatistics exam in the Faculty of Psychology in 2023, only 14% of all students passed the course in January). |
| SI-PASS supervisors… | |||
| 15. | and senior leaders, mentors, and coordinators model SI-PASS principles and facilitation skills both in training and in ongoing professional learning in order to inform best practice. The same is true of other locally specified roles, such as mentors (senior leaders) and coordinators. | 15. | Initial and ongoing training is delivered by certified and seasoned supervisors who themselves practice SI-PASS principles and spirit. They regularly attend supervisors’ “master classes” offered by the European Center. There are unfortunately no senior leaders at ULiège. |
| 16. | work collaboratively with academic colleagues to ensure SI-PASS is linked appropriately into the course schedule and content. | 16. | Supervisors have a contact person in each faculty, helping to manage the practical aspects of the program. Low contact with teachers of the targeted courses is a weakness at ULiège. |
| SI-PASS leaders and facilitators are… | |||
| 17. | recognized and rewarded (e.g., some institutions pay their leaders while others offer academic credit or other appropriate compensation). | 17. | Leaders sign a contract with the university and are financially compensated for their role with the official student job salary. |
| 18. | provided with an initial minimum two-day training program and ongoing professional learning. | 18. | An initial one-day training is mandatory for all leaders (new and confirmed). Ongoing training opportunities called “mini cursus” are provided as well as a compulsory reflective exercise. |
| 19. | provided with resources to support them in their role. | 19. | An online platform is being created to provide leaders with multiple resources: course-related material, translated SI-PASS cards, techniques covered in mini-cursus, FAQs answering all kinds of questions received over the last four years, and SI-PASS literature. |
| 20. | instructed not to reteach the course material. They are specifically trained to develop students as independent learners and to ensure that SI-PASS sessions do not become another lecture or a replacement for tutorials. | 20. | This aspect is the key point during their training, and they are constantly reminded of it. The field observations confirm that this notion is well rooted in leaders’ practice. |
| 21. | in regular contact with course teaching team so they are knowledgeable about what is occurring in the course to ensure that the following aims are met: leaders are modeling good study behavior, marketing the purpose and benefits of SI-PASS, remaining up-to-date with subject content and relevant unit information to support preparation, retaining awareness of difficult content, and providing feedback to inform the course teaching team. | 21. | Some teachers have sometimes provided agendas for their courses. The online space of the course is open, on university LMS, to leaders. To be knowledgeable, the leaders rely on their own notes, handbook, and exercises. They are officially paid for one hour to prepare each meeting (e.g., content revision, activity planning). Contact between leaders and supervisors with teachers is unfortunately scarce, even in the sharing of the collected feedback. |
| FACULTY | ACADEMIC YEAR AND SEMESTER | M1 | M2 | M3 | M4 | M5 | M6 | M7 | M8 | M9 | M10 | M11 | M12 | M13 | TOTAL |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Applied Sciences | 19–20 S2 20–21 S1 20–21 S2 21–22 S1 21–22 S2 | 92 158 135 167 61 | 59 123 98 122 55 | 57 117 85 110 49 | 51 113 80 98 44 | 47 102 59 96 38 | 43 108 62 74 41 | 40 97 52 84 35 | 30 90 54 78 37 | 30 77 50 84 32 | 11 72 50 80 28 | 9 57 41 80 30 | 8 24 34 37 21 | 10 8 25 20 18 | 487 1,146 825 1,130 489 |
| Bioengineering | 19–20 S1 20–21 S1 20–21 S2 21–22 S1 21–22 S2 | 31 98 54 34 60 | 64 69 39 39 48 | 72 72 39 59 26 | 61 69 25 48 31 | 55 37 25 47 33 | 54 40 27 24 20 | 15 48 13 24 13 | 33 51 19 31 3 | 37 47 22 38 14 | 34 47 18 46 12 | 36 37 16 28 22 | 20 35 14 37 18 | 3 5 16 25 11 | 515 655 327 480 311 |
| Psychology | 20–21 S2 21–22 S1 21–22 S2 | 213 166 22 | 192 142 20 | 181 144 20 | 164 142 21 | 168 110 22 | 156 88 21 | 149 90 20 | 138 75 16 | 145 80 20 | 139 72 22 | 95 68 20 | 37 65 16 | . 50 6 | 1,777 1,292 246 |
| Sciences | 20–21 S1 21–22 S1 21–22 S2 | 12 30 53 | 11 20 48 | 11 17 38 | 8 9 33 | 8 12 36 | 8 11 38 | 8 12 34 | 7 7 28 | 7 12 35 | 6 9 25 | 6 12 17 | 6 10 9 | 4 9 14 | 102 170 408 |
| Total | 1,386 | 1,149 | 1,097 | 997 | 895 | 815 | 734 | 697 | 730 | 671 | 574 | 391 | 224 | 10,360 |
